1.BRICS report of 2018-2019: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Hui DING ; Yongyun LIU ; Haifeng MAO ; Ying HUANG ; Zhenghai YANG ; Yuanyuan DAI ; Guolin LIAO ; Lisha ZHU ; Liping ZHANG ; Yanhong LI ; Hongyun XU ; Junmin CAO ; Baohua ZHANG ; Liang GUO ; Haixin DONG ; Shuyan HU ; Sijin MAN ; Lu WANG ; Zhixiang LIAO ; Rong XU ; Dan LIU ; Yan JIN ; Yizheng ZHOU ; Yiqun LIAO ; Fenghong CHEN ; Beiqing GU ; Jiliang WANG ; Jinhua LIANG ; Lin ZHENG ; Aiyun LI ; Jilu SHEN ; Yinqiao DONG ; Lixia ZHANG ; Hongxia HU ; Bo QUAN ; Wencheng ZHU ; Kunpeng LIANG ; Qiang LIU ; Shifu WANG ; Xiaoping YAN ; Jiangbang KANG ; Xiusan XIA ; Lan MA ; Li SUN ; Liang LUAN ; Jianzhong WANG ; Zhuo LI ; Dengyan QIAO ; Lin ZHANG ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(1):32-45
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.
2.BRICS report of 2020: The bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Yuanyuan DAI ; Jiliang WANG ; Haifeng MAO ; Hui DING ; Yongyun LIU ; Yizheng ZHOU ; Hong LU ; Youdong YIN ; Yan JIN ; Hongyun XU ; Lixia ZHANG ; Lu WANG ; Haixin DONG ; Zhenghai YANG ; Fenghong CHEN ; Donghong HUANG ; Guolin LIAO ; Pengpeng TIAN ; Dan LIU ; Yan GENG ; Sijin MAN ; Baohua ZHANG ; Ying HUANG ; Liang GUO ; Junmin CAO ; Beiqing GU ; Yanhong LI ; Hongxia HU ; Liang LUAN ; Shuyan HU ; Lin ZHENG ; Aiyun LI ; Rong XU ; Kunpeng LIANG ; Zhuo LI ; Donghua LIU ; Bo QUAN ; Qiang LIU ; Jilu SHEN ; Yiqun LIAO ; Hai CHEN ; Qingqing BAI ; Xiusan XIA ; Shifu WANG ; Jinhua LIANG ; Liping ZHANG ; Yinqiao DONG ; Xiaoyan QI ; Jianzhong WANG ; Xuefei HU ; Xiaoping YAN ; Dengyan QIAO ; Ling MENG ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(6):413-426
Objective:To investigate the bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China.Methods:The clinical bacterial strains isolated from blood culture were collected during January 2020 to December 2020 in member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS). Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute(CLSI, USA). WHONET 5.6 was used to analyze data.Results:During the study period, 10 043 bacterial strains were collected from 54 hospitals, of which 2 664 (26.5%) were Gram-positive bacteria and 7 379 (73.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (38.6%), Klebsiella pneumoniae (18.4%), Staphylococcus aureus (9.9%), coagulase-negative Staphylococci (7.5%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.3%), Enterobacter cloacae (2.8%), Enterococcus faecalis (2.6%), Acinetobacter baumannii (2.4%) and Klebsiella spp (1.8%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 27.6% and 74.4%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci were detected. More than 95% of Staphylococcus aureus were sensitive to rifampicin and SMZco. No vancomycin-resistant Enterococci strains were detected. Extended spectrum β-lactamase (ESBL) producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 48.4%, 23.6% and 36.1%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.3% and 16.1%, respectively; 9.6% of carbapenem-resistant Klebsiella pneumoniae strains were resistant to ceftazidime/avibactam combination. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii. The prevalence rate of carbapenem-resistance of Pseudomonas aeruginosa was 23.2%. Conclusions:The surveillance results in 2020 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen, and ESBL-producing strains declined while carbapenem-resistant Klebsiella pneumoniae kept on high level. The proportion and the prevalence of carbapenem-resistant Pseudomonas aeruginosa were on the rise slowly. On the other side, the MRSA incidence got lower in China, while the overall prevalence of vancomycin-resistant Enterococci was low.
3.BRICS report of 2016-2017: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Qing YANG ; Haishen KONG ; Yongyun LIU ; Ying HUANG ; Yuanyuan DAI ; Liping ZHANG ; Hui DING ; Liang GUO ; Baohua ZHANG ; Lisha ZHU ; Haifeng MAO ; Zhixiang LIAO ; Yanhong LI ; Lu WANG ; Shuyan HU ; Zhenghai YANG ; Beiqing GU ; Haixin DONG ; Fei DU ; Lin ZHENG ; Bo QUAN ; Wencheng ZHU ; Jianzhong WANG ; Lan MA ; Rong XU ; Li SUN ; Aiyun LI ; Junmin CAO ; Jinhua LIANG ; Hongyun XU ; Kunpeng LIANG ; Dengyan QIAO ; Xiaoyan QI ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2020;13(1):42-54
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2016 to December 2017. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI) 2019. WHONET 5.6 was used to analyze data.Results:During the study period, 8 154 bacterial strains were collected from 33 hospitals, of which 2 325 (28.5%) were Gram-positive bacteria and 5 829 (71.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (34.7%), Klebsiella pneumoniae (15.8%), Staphylococcus aureus (11.3%), coagulase-negative Staphylococci (7.4%), Acinetobacter baumannii (4.6%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.8%), Streptococci (2.9%), Enterobacter cloacae (2.7%) and Enterococcus faecalis (2.5%). Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus (MRCNS) accounted for 34.2%(315/922) and 77.7%(470/605), respectively. No vancomycin-resistant Staphylococcus was detected. The resistance rate of Enterococcus faecium to vancomycin was 0.6%(2/312), and no vancomycin-resistant Enterococcus faecium was detected. The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus were 55.7%(1 576/2 831), 29.9%(386/1 289) and 38.5%(15/39), respectively. The incidences of carbapenem-resistance in Escherichia coli, Klebsiella pneumoniae were 1.2%(33/2 831), 17.5%(226/1 289), respectively. The resistance rates of Acinetobacter baumannii to polymyxin and tigecycline were 14.8%(55/372) and 5.9%(22/372) respectively, and those of Pseudomonas aeruginosa to polymyxin and carbapenem were 1.3%(4/315) and 18.7%(59/315), respectively. Conclusion:The surveillance results from 2016 to 2017 showed that the main pathogens of blood stream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen; the MRSA incidence was lower than other surveillance data in the same period in China; carbapenem-resistant Escherichia coli was at a low level during this surveillance, while carbapenem-resistant Klebsiella pneumoniae is on the rise.
4.Altered topological properties in white matter structural networks in patients with schizophrenia
Dan LYU ; Guangcheng CUI ; Ping LI ; Cuicui JIA ; Qiang HU ; Yunhui CHEN ; Yuhua WANG ; Ameng ZHAO ; Chengchong LI ; Zhenghai SUN
Chinese Journal of Behavioral Medicine and Brain Science 2019;28(5):421-426
Objective To explore the changes of whole brain white matter ( WM) structural net-work topological property in patients with schizophrenia (SP) and the associations between WM networks to-pological efficiency and clinical variables in patients. Methods Deterministic tractography was used to con-struct the WM networks of 59 patients with SP ( patients group) and 41 age-, handedness-, and gender-matched healthy controls (HCs),and graph theoretical methods were applied to investigate abnormalities in the global and nodal properties of the WM network in these patients. Partial correlation analysis was used to analyze the relationship between global and nodal properties of the WM network and clinical variables in pa-tients with SP. Results Both the patients with SP and HCs showed small-world organization of the WM net-works. However,compared with HCs,the patients with SP exhibited significant abnormal global topology,in-cluding increased shortest path length ( t=7. 95, P=0. 0001) and decreased global efficiency ( 30. 83 ± 16. 08,8. 25±6. 13,t=-9. 81,P=0. 002),clustering coefficiency (0. 03±0. 01,0. 02±0. 01,t=-4. 48,P=0. 0003),the average clustering coefficiency (t=-8. 28,P=0. 002),the small-worldness (3. 92±0. 79,2. 79 ±0. 56,t=-7. 82,P=0. 001) of their WM structural networks(all P<0. 005,FDR corrected). Further,the patients with SP showed a reduction in nodal efficiency predominately in the cingulate gyrus ( t=-4. 11, P=0. 000),superior occipital gyrus ( t=-6. 05, P=0. 002), superior temporal gyrus ( t=-10. 46, P=0. 001),middle temporal gyrus (t=-10. 38,P=0. 000),thalamus (t=-6. 10,P=0. 000) and putamen ( t=-8. 38,P=0. 000) (P<0. 005,FDR corrected). Partial correlation results showed that there was no signifi-cant correlation between global topological properties,node efficiency and clinical symptoms in patients group (Eglob:r=-0. 14,P=0. 279;Eloc:r=-0. 06,P=0. 628;Lp:r=0. 28,P=0. 031;Cp:r=0. 27,P=0. 043;λ:r=-0. 18,P=0. 166;γ:r=-0. 29,P=0. 026;σ:r=0. 26,P=0. 048;nEglob:r=0. 36,P=0. 005;nEloc:r=0. 02,P=0. 901). Conclusions The patients with SP exhibit the abnormal of whole brain WM structural network topological property and the node efficiencies of cortico-striato-thalamo circuitry are significantly re-duced.
5.Distribution and antimicrobial resistance profile of clinical bacterial isolates from blood culture in China, 2014-2015
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Ying HUANG ; Jilu SHEN ; Hui DING ; Jinwei HUANG ; Yuanyuan DAI ; Yongyun LIU ; Liping ZHANG ; Liang GUO ; Baohua ZHANG ; Yanhong LI ; Haifeng MAO ; Li WANG ; Lin ZHENG ; Beiqing GU ; Haixin DONG ; Chuandan WAN ; Zhixiang LIAO ; Rong XU ; Shuyan HU ; Li SUN ; Shucun ZHANG ; Lan MA ; Bo QUAN ; Jianzhong WANG ; Zhenghai YANG ; Wencheng ZHU ; Fei DU ; Dengyan QIAO ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2019;12(1):24-37
Objective To analyze the distribution and antimicrobial resistance profile of clinical bacterial strains isolated from blood culture in China.Methods Clinical bacterial strains isolated from blood culture from participating hospitals of Blood Bacterial Resistance Investigation Collaborative System (BRICS) during January 2014 to December 2015 were collected.Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods as recommended by US Clinical and Laboratory Standards Institute(CLSI)2018.The data were analyzed with Whonet 5.6 software.Results During the study period,4 801 clinical bacterial isolates were collected from 26 hospitals,of which 1 798 (37.5%) were Gram-positive bacteria and 3 003 (62.5%) were gram-negative bacteria.The top 10 isolates were Escherichia coli (33.8%),coagulase-negative Staphylococcus (19.0%),Klebsiella pneumoniae (11.9%),Staphylococcus aureus (10.1%),Acinetobacter baumannii (4.0%),Pseudomonas aeruginosa (3.8%),Streptococcus (3.0%),Enterobacter sulcus (2.9%),Enterococcus faecium (2.8%) and Enterococcus faecalis (1.8%).Methicillin-resistant Staphylococcus aureus (MRSA) and methicillinresistant coagulase-negative Staphylococcus (MRCNS) accounted for 33.9% (165/487) and 56.9% (520/913) of Staphylococcus aureus and coagulase-negative Staphylococcus respectively.No vancomycinresistant Staphylococcus was detected.The resistance rate of Enterococcus faecium to vancomycin was 0.7% (1/135),and no vancomycin-resistant Enterococcus faecaliss was detected.The positive rates of extendedspectrum β-1actamases(ESBLs)-producing Escherichia coli,Klebsiella pneumoniae and Proteus were 56.9% (923/1 621),30.1% (172/572) and 29.2% (7/24),respectively.The positive rates of carbapenemresistant Escherichia coli,Klebsiella pneumoniae,Enterobacter,Salmonella and Citrobacter were 1.2% (20/1 621),7.2% (41/572),4.3% (6/141),1.5% (1/67) and 2.9% (1/34),respectively.The resistance rates of Acinetobacter baumannii to polymyxin and tegacycline were 2.6% (5/190) and 8.9% (17/190)respectively,and that of Pseudomonas aeruginosa to polymyxin and fosfomycin were 1.1% (2/183)and 0.6% (1/183),respectively.Conclusions The surveillance results from 2014 to 2015 show that the main pathogens of blood stream infection in China are Gram-negative bacteria,while Escherichia coli is the most common pathogen,the detection rate of MRSA is lower than other surveillance data in the same period in China;carbapenem-resistant Klebsiella pneumoniae and Escherichia coli are at a low level as shown in this surveillance.
6.The association between axon guidance pathway single nucleotide polymorphisms and susceptibility to schizophrenia
Tong WU ; Liangtang ZHANG ; Guangcheng CUI ; Ping LI ; Yu SI ; Yunhui CHEN ; Qiang HU ; Zhenghai SUN ; Yuhua WANG
Chinese Journal of Behavioral Medicine and Brain Science 2017;26(12):1096-1100
Objective To investigate the susceptibility related sites to schizophrenia through whole genome analysis combined with bioinformatics analysis method.Methods The research was carried out by two stages.In the first stage,300 cases of schizophrenia and 300 healthy controls were enrolled,and 5ml pe-ripheral venous blood was drawn to extract genome DNA.After quality control and concentration adjustment by ultraviolet spectrophotometer,equal mass of DNA was mixed into DNA pooling for case group and control group respectively.Genome-Wide Human SNP Array 6.0 chips were used to detect the polymorphism of the SNP.Plink software was used to locate the differential SNP to genes.GSEA was used to analyze the gene to pathway.Ten loci with the smallest P value of screened pathway were chosen as investigated subjects.In the second stage,240 schizophrenias and 200 healthy controls were collected to gain the genome DNA to verity the genotype of the 10 loci.Results Many single nucleotide polymorphism loci which P<9.2×10-8were found in GWAS.The GSEA pathway analysis showed that the axon guidance pathway was significantly related to the incidence of schizophrenia.The distribution of rs4632195 genotypes involved the distribution of among 10 loci(χ2=11.484,P=0.003)and alleles(χ2=8.824,P=0.009)were statistically significant,and T al-lele was susceptibility genes of schizophrenia(OR=1.537,95%CI:1.157-2.203).Conclusion rs4632195 of DCC gene in the axon guidance pathway is associated with schizophrenia,and the T allele is associated with susceptibility to schizophrenia.
7.Cholelithiasis and the risk of intrahepatic cholangiocarcinoma: a Meta-analysis
Zhenghai ZHU ; Hao CAI ; Yanyan GU ; Wanwen ZHAO ; Weidong HU ; Chaobo CHEN
International Journal of Surgery 2015;42(2):97-101
Objective To clarify the association of pre-existing choledocholithiasis or cholecystolithiasis and the development of intrahepatic cholangiocarcinoma(ICC).Methods A computerized literature search was performed in Pubmed,EmBase and CBM.Cohort and case control studies on the risk of choledocholithiasis or cholecystolithiasis developing ICC was included.Meta-analysis was performed using STATA version 12.0.Either a fix or random effect model was used according to heterogeneity among studies.Egger's test was performed to assess publication bias.Results A total of 6 case control studies fulfilled our inclusion criteria including 123,713 patients,4,753 for ICC and 118,960 for tumor free controls.Bile duct stone contributed to the development of ICC (OR:15.64,95% CI 9.33-26.23).Apart from hepatolithiasis,there was still a high risk of ICC development for choledocholithiasis (OR:11.05,95 % CI:4.02 ~ 30.37).Cholecystolithiasis is also a risk factor for ICC (OR:2.35,95 % CI:1.28 ~ 4.31).Conclusion Both choledocholithiasis and cholecystolithiasis are important prognostic factors for ICC.
8.Preparation and characterization of polymethylmethacrylate-based magnetic bone cements containing micron carbonyl iron powder
Yanwen HU ; Xiaowen WANG ; Zhenghai TANG ; Langbin WEI ; Rui PANG ; Jintian TANG
Chinese Journal of Tissue Engineering Research 2013;(47):8155-8161
BACKGROUND:Magnetic bone cements have been used to treat bone metastasis in Japan, which are made by adding Fe3O4 nanoparticles to bone cements. Magnetic bone cements containing micron carbonyl iron powder have not been reported.
OBJECTIVE:To prepare polymethylmethacrylate-based cements containing carbonyl iron powder, and to test the magnetic characterizations and the heat-generating abilities of al samples according to ISO 5833 standard in vitro. METHODS:The carbonyl iron powder was mixed with polymethylmethacrylate-based bone cement power to prepare magnetic bone cements containing 0%, 20%, 30%, 40%, and 50%carbonyl iron powder, respectively. The setting time, polymerization temperature, compressive strength, magnetic property and in vitro heat-generating ability were tested.
RESULTS AND CONCLUSION:The setting time and polymerization temperature were increased with the increased content of carbonyl iron powder. The highest polymerization temperature of each sample was 65-70 ℃. The increased content of carbonyl iron power could not change the highest polymerization temperature but delay its appearance. The compressive strength of each sample was higher than 60 MPa, and moreover, the compressive strength of the pure polymethylmethacrylate-based bone cement was higher than 60 MPa, which met the ISO 5833 standard. The saturation magnetic intensity was increased with the increasing of carbonyl iron power content. The heat-generating ability of magnetic bone cements had a positive correlation with the magnetic field strength and the content of carbonyl iron powder.
9.Relationship between leaf structures of Aloe L. and its anthraquinone content
Zhenghai HU ; Zonggen SHEN ; Jingyuan LI
Chinese Traditional and Herbal Drugs 2001;32(4):347-350
Anthraquinones present in the leaves of Aloe L. are the main active principle for medical purposes. Therefore, to study their relationship is of great interest to the medical profession. Methods Leaves of 11 species of Aloe L. were studied by phytotomy, histochemistry and phytochemistry. Results The structures of the aloe leaves were basically similar as characterized by the presence of the large, well developed parenchymatous cells in the phloem pole where anthraquinones were stored. Some positive correlations exist between the contents of anthroquinones in the leaves of different species and different parts of leaves of the same species, and some phytotomic factors including the density of vascular bundles, the ratio of large parenchymatous cells in phloem and the thickness of the chlorenchyma. Conclusion Results of the study may provide references during purchasing and for the selection and breeding of new improved species.
10.Studies on the Secretory Structure of Hypericum erectum
Chinese Traditional and Herbal Drugs 2000;31(10):773-775
The structures that secrete and store hypericin and volatile oil, the main medicinal com-ponent of Hepericum erectum Thunb. , were studied using Sudan black, 5% NaOH solution and 0.5%methanolic magnesium acetate on semi-thin sections of H. erectum. Results showed that hypericin was pro-duced and stored in the secretory cell nodules, while the volatile oil was produced and stored in its secreto-ry sac and canal. The distribution and denseness of these 3 secretory structures in various organs were de-scribed to provide a scientific basis for the rational utilization of different parts of this medicinal plant.

Result Analysis
Print
Save
E-mail