Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

Gyrus Cinguli ; Claustrum ; Cerebral Cortex ; Basal Ganglia ; Motor Activity ; Neural Pathways

OBJECTIVE: To investigate the effect of chidamide on the killing activity of NK (Natural killer cell, NK) cells targeting K562 cells and its related mechanism. METHODS: K562 cells were pretreated with chidamide at different concentrations and cocultured with NK cells at different effect-target ratios. The killing effect of chidamide on K562 cells by NK cells, the expression of natural killer group 2 member D (NKG2D) ligands and apoptosis rate of K562 cells were detected by flow cytometry. RESULTS: The killing sensitivity of NK cells to K562 cells could be enhanced by chidamide. The expression of ULBP2 on K562 cell surface could be up-regulate, however, the expression of ULBP1 and MICA/MICB showed no statistically difference as compared with control group. Chidamide showed no obvious cytotoxicity to K562 cells. CONCLUSION Chidamide can significantly improve killing efficiency of NK cells on K562 cells, which may be related to the up-regulation of ULBP2 expression.
Aminopyridines ; Benzamides ; GPI-Linked Proteins ; Histocompatibility Antigens Class I ; Humans ; Intercellular Signaling Peptides and Proteins ; K562 Cells ; Killer Cells, Natural ; immunology ; NK Cell Lectin-Like Receptor Subfamily K

OBJECTIVE：To provide refer ence for improving the innovation efficiency of Chinese pharmaceutical industry and promoting the high-quality development of the pharmaceutical industry. METHODS ：Using local economic development ，policy support，industrial foundation and innovation foundation as environmental variables ，three-stage data envelopment analysis （DEA） was used to explore the change regularity of innovation efficiency of the pharmaceutical industry by collecting related data such as input，output and invironment of 31 provinces（autonomous regions ，municipalities）in China during 2012-2016 and in 2018 from China Statistical Yearbook and China High-tech Industry Statistical Yearbook . RESULTS & CONCLUSIONS ：The innovation efficiency of the pharmaceutical industry in 18 provinces（autonomous regions ，municipalities）were overestimated ，and other 13 provinces（autonomous regions ，municipalities）was underestimated. The innovation efficiency of Fujian ，Heilongjiang，Jilin， Jiangxi，Yunnan，Liaoning and Chongqing before adjustment were overestimated 0-0.1，Shaanxi，Hainan，Gansu and Shanxi were overestimated 0.1-0.3，Inner Mongolia ，Guizhou，Guangxi，Xinjiang and Ningxia were overestimated 0.3-0.5；while the innovation efficiency of Anhui ，Hunan，Shanghai，Beijing，Hebei，Sichuan，Tianjin and Henan were underestimation 0.1-0.3，Hubei， Jiangsu，Zhejiang，Shandong and Guangdong had an underestimation of 0.3-0.5 before adjustment. Tibet ，Qinghai and Guangdong were greatly affected by environmental factors. The innovation efficiency in Tibet and Qinghai before adjustment were overestimated by 0.603 and 0.538 compared with after adjustment ，while Guangdong was underestimated by 0.470. The innovation efficiency value of the eastern and central regions of China before adjustment was underestimated ，while the northeastern and western regions were overestimated overall. B efore the adjustment，the order of innovation efficiency in descending order was the central ， western， eastern and northeastern liying@163.com regions，and after the adjustment ，it became the eastern ，central， northeastern and western regions. The innovation efficiency of Chinese pharmaceutical industry is greatly affected by the environment ，so all localities shou ld pay attention to the po licy support for the pharmaceutical industry and strengthen the policy guiding role for the pharmaceutical industry ；improve the industrial chain and supporting measures to create a good innovation environment ；promote the flow of innovation resources in different regions ，strengthen the cooperation and exchange among regions ，so as to improve the innovation efficiency of Chinese pharmaceutical industry and promote the high-quality development of the pharmaceutical industry.

The present study is to establish a quantitative analysis of multi-components by single marker(QAMS) for determining contents of seven compositions in Alismatis Rhizoma, alismoxide, alisol C 23-acetate, alisol A, alismol, alisol B, alisol B 23-acetate and 11-deoxy-alisol B. Six relative correction factors(RCFs) of alismoxide, alisol C 23-acetate, alisol A, alismol, alisol B and 11-deoxy-alisol B were established in the UPLC method with alisol B 23-acetate as the internal standard, which was to calculate the mass fraction of each. The mass fraction of seven effective constituents in Alismatis Rhizoma was calculated by the external standard method(ESM) at the same time. Compared with the content results determined by the ESM and QAMS, the feasibility and accuracy of QAMS method were verified. Within the linear range, the RCFs of alismoxide, alisol C 23-acetate, alisol A, alismol, alisol B, 11-deoxy-alisol B were 0.946, 4.183, 0.915, 1.039, 0.923 and 1.244, respectively, with good repeatability in different experimental conditions. There was no significant difference between the QAMS method and ESM method. Then, QAMS method was applied to determination of the different degree Alismatis Rhizoma from different areas. As a result, the concentrations of 7 components have differences in different areas, but no significant differences in different grades. The QAMS method is feasible and accurate for the determination of the seven chemical compositions, and which can be used for quality control of Alismatis Rhizoma.
Alismatales ; chemistry ; Drugs, Chinese Herbal ; analysis ; Phytochemicals ; analysis ; Rhizome ; chemistry

ITS2 sequence was used as a barcode to identify herbal tea ingredient Plumeria rubra and its adulterants. Genomic DNAs from forty eight samples were extracted, the ITS2 sequences were amplified and sequenced bi-direstionlly, and then assembled and obtained using CodonCode Aligner. The sequences were aligned using ClustalW, the genetic distances were computed by kimura 2-parameter (K2P) model and the Neighbor-joining (NJ) phylogenetic trees were constructed using MEGA5.0. Results showed that the length of ITS2 sequence of P. rubra were 244 bp. The intra-specific genetic distances (0-0. 016 6) were much smaller than inter-specific ones between P. rubra and its adulterants(0.320 8-0.650 4). The NJ tree indicated that P. rubra and its adulterants could be distinguished clearly. Therefore, Using ITS2 barcode can accurately andeffectively distinguish herbal tea ingredient P. rubra from its adulterants, which providesa new molecular method to identify P. rubra and ensure its safety in use.
Apocynaceae ; classification ; genetics ; DNA Barcoding, Taxonomic ; methods ; DNA, Plant ; genetics ; DNA, Ribosomal Spacer ; genetics ; Drug Contamination ; prevention & control ; Drugs, Chinese Herbal ; chemistry ; classification ; Flowers ; chemistry ; classification ; Molecular Sequence Data ; Phylogeny ; Quality Control

Cognition ; Dyslexia ; psychology ; Humans ; Language ; Male ; Middle Aged ; Reading

OBJECTIVETo detect the differences in subcortical structures between patients with paroxysmal kinesigenic dyskinesia (PKD) and normal subjects during movement preparation and execution.

METHODSThe PKD patients performed a movement task, in which a CUE signal (preparation) indicated the movement sequence prior to the appearance of an imperative GO signal (execution). Event-related functional magnetic resonance imaging (fMRI) and 3dDeconvolve program of AFNI were used to estimate the hemodynamic response function and to generate activation maps.

RESULTDuring movement preparation, the activated brain areas in PKD patients were less than those of normal subject, and there was no activation in basal ganglia in PKD patients. During execution, the activation was also less in PKD patients except in bilateral M1.

CONCLUSIONDuring intermission, abnormalities of the brain still exist in PKD patients when during preparing or performing movement. The movement circuit in the brain displays an unusual state. The attack may be caused by reducing of inhibition in brain areas.

Adult ; Chorea ; physiopathology ; Humans ; Magnetic Resonance Imaging ; Male ; Motor Cortex ; physiopathology ; Movement ; physiology

OBJECTIVETo investigate the brain functional laterality in motor areas during motor execution systematically.

METHODSFunctional magnetic resonance imaging (fMRI) was employed combined with right hand sequential finger movement task to investigate brain activation pattern and laterality in 8 right-handed subjects. 3dDeconvolve program of AFNI was used to estimate the hemodynamic response function and to generate activation maps. Then the laterality index (LI) was calculated and tested statistically.

RESULTAll motor areas including the areas which were previously considered to be engage in movement preparation only were activated in movement execution. In the activation map, it appeared left lateralization in cerebra and right lateralization in cerebella. After further statistical test, it was found that in primary motor area (M1), supplementary motor area (SMA) and posterior parietal cortex (PPC), there were left lateralization. While in premotor cortex (PMC), cingulate gyrus and basal ganglia (BG), the lateralization tendency was not obvious. The activation in cerebella is characterized with right lateralization.

CONCLUSIONThough there are tiny differences among subjects, most of the motor areas appear lateralized activation. Past studies only observed laterality in several motor areas. It may be due to the difficulty of the task or the experimental design.

Adult ; Brain ; physiology ; Female ; Functional Laterality ; physiology ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Motor Cortex ; physiology

OBJECTIVETo explore the differences in brain activation between musicians and non-musicians by use of functional MRI.

METHODSTwelve right-handed musicians and twelve right-handed non-musicians were recruited in the study. During a listening task, they were scanned on the Sigma 1.5T scanner (GE) while they were passively listening to several segments of music of "the Butterfly Love" and the white noise with same physical energy.

RESULTBoth musicians and non-musicians demonstrated bilateral transverse gyrus weak activated while listening to the white noise. But when listening to music, they showed bilateral temporal areas strongly activated including superior temporal gyrus, transverse gyrus and some middle temporal areas. Moreover, musicians showed relative left dominance (10/12), whereas non-musicians demonstrated right dominance(11/12). Furthermore,besides bilateral temporal areas, more and stronger activated areas were found in musicians such as cuneus, precuneus,medial frontal and left middle occipital gyrus.

CONCLUSIONThere are different neuro-patterns between musicians and non-musicians.

Adult ; Brain ; anatomy & histology ; physiology ; Humans ; Magnetic Resonance Imaging ; Male ; Music ; Temporal Lobe ; physiology