Objective To identify microbiome biomarkers in patients with inflammatory bowel disease ( IBD) in different regions and establish predictive models , and to explore the various gut microbiota function in IBD patients .Methods The 16 srRNA gene sequences of 1510 IBD patients and 496 healthy controls were collected from China , the United States ( RISK and PRISM cohort ), Germany, India and Lithuania cohort.QIIME ( v1.9.1) was used to analyze microbiota data.LEfSe was used to identify biomarkers for IBD.Random forest method was used to establish the prediction model to distinguish IBD from HC.PICRUSt was used to predict the functional changes of gut microbiota in IBD patients .Resultsɑdiversity of gut microbial in IBD patients was significantly lower than in HC (Wilcoxon,P<0.05).The gut microbiota of IBD patients was different from HC significantly ( Adonis,P<0.05) in all of the cohort study but Indian.LEfSe analysis showed that the IBD patients from China and the U .S.cohort harbored similar dysbiosis patterns , while those from Lithuania , Germany and India have highly localized dysbiosis patterns.Generally, enterococcus was significantly increased in IBD patients in China , the U.S.and Germany cohort.Enterobacteriaceae was significantly increased in IBD patients in China and the U .S. cohort.Ruminococcus was significantly decreased in the intestines of IBD patients in China , the U.S.and India cohort.When predicting IBD status using machine learning models built on local population , the area under the curve ( AUC) was 86.48％ ±4.91％.Meanwhile, when predicting IBD status using machine learning models built on other populations , China and the U.S.had a relatively high AUC for cross-predicting, whilethe other pairs were failed when cross-applied to each other.The model established based on all samples was used to predict each population ,which showed that China , the United States ( RISK and PRISM cohort ), Germany, Lithuania and India cohorts having AUCs of 90.1％, 82.3％, 79.6％, 61.9％, 65.5％and 54.2％respectively.For functional analysis, in China, the United States (RISK and PRISM cohort ) and India cohort , glutathione metabolism and quinones biosynthesis was significantly increased in IBD patients.In China, Germany and Lithuania cohort , flagella assembly and bacterial motility proteins functions were significantly decreased in the IBD patients .Conclusions The intestinal microbiota of IBD patients from different countries could have consistent dysbiosis patterns , but geographical factors still exert a great effect on the microbiota , which needs to be further explored in subsequent studies .

Objective To investigate the susceptibility profile of clinical isolates in Zhujiang Hospital in 2015.Methods Susceptibility test was carried out using Kirby-Bauer method or automated systems.Results A total of 4 229 clinical isolates were isolated from January to December 2015,including 2 688 (63.6％) gram negative and 1 541 (36.4％) gram positive bacteria.Methicillin-resistant S.aureus (MRSA) and coagulase-negative Staphylococcus (MRCNS) accounted for 47.2％ and 76.4％,respectively.The methicillin-resistant strains have much higher resistance rates to beta-lactams and other antimicrobial agents than methicillin-susceptible strains.Majority (94.0％) of MRSA strains were susceptible to trimethoprim-sulfamethoxazole,and 83.1％ MRCNS strains were susceptible to rifampin.No staphylococcal isolates were found resistant to vancomycin,teicoplanin or linezolid.E.faecalis strains showed much lower resistance rate to most of the drugs tested (except chloramphenicol) than E.faecium.No enterococcal isolates were found resistant to vancomycin or teicoplanin.ESBLs were produced in 52.6％ of E.coli and 39.7％ of Klebsiella (K.pneumoniae and K.oxytoca) strains.ESBLs-producing Enterobacteriaceae strains had higher resistance rates to common antimicrobial agents than non-ESBLs-producing strain.Enterobacteriaceae isolates were highly susceptible to carbapenems,(＜4％ resistant).Acinetobacter spp.strains showed high resistance to imipenem (69.2％ resistant) and meropenem (71.2％ resistant).Conclusions The antibiotic resistance is still increasing in this hospital.The emerging multi-drug or pan-drug resistant strains pose a serious threat to clinical practice and implies the importance of strengthening infection control.