Objective To describe the monitoring and control of pan-drug resistant Acinetobacter baumannii (XDRABA) colonization and infection in a medical intensive care unit (ICU),and to summarize the effective measures of surveillance of nosocomial infection and control.Methods Nonsurgical patients admitted to medical ICU of Peking University People's Hospital from September 2009 to April 2013 with length of ICU stay over 48 hours were surveyed.Number of cases of colonization and infection of XDRABA per month was recorded,and the clinical features of patients with XDRABA colonization and infection were observed.The control of XDRABA colonization and infection was divided into three stages:① Outbreak stage,from September 2009 to August 2010,the infection control measures included stringent hand hygiene and surface disinfection,use of disposable ventilator tubes and improvement in antibiotics use.② Environmental control stage,from September 2010 to April 2012,the infection control measures consisted of on-the-spot investigation,isolation of patients with XDRABA colonization and infection,tubes terminal environment disinfection.③ Microbial screening stage,from May 2012 to April 2013,throat,nose and axillary swabs were obtained when the patients admitted.Results From 2009 September to 2013 April there was a total of 193 patients colonized or infected with XDRABA,and 64 patients died (mortality rate was 33.2％),and 133 (68.9％) patients were on mechanical ventilation.Patients with XDRABA colonization and infection had severer illness [acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score 20.3 ±6.7],longer ICU stay [(34.6 ± 13.8) days].In outbreak stage,number of cases with XDRABA colonization and infection was 5-9 per month.In environmental control stage,case number of XDRABA colonization and infection was 3-6 per month.In microbial screening stage,case number of XDRABA colonization and infection,which were already present,was 2-4 per month,and they were mainly admitted from emergency department (59.5％).The number of cases of ICU acquired XDRABA colonization and infection decreased from 2-3 to 0-1 per month.Conclusion To control the colonization and infection of XDRABA,monitoring of microorganism,hand hygiene,isolation of patients with XDRABA colonization and infection,and stringent environment disinfection were very necessary.

OBJECTIVE: To explore the pathogenesis of gastric cancer through a bioinformatic approach to provide evidence for the prevention and treatment of gastric cancer. METHODS: The differentially expressed genes (DEGs) in gastric cancer and normal gastric mucosa in GSE79973 dataset were analyzed using GEO2R online tool. GO analysis and KEGG pathway enrichment analysis of the DEGs in DAVID database were performed. The protein interaction network was constructed using STRING database, and the key genes (Hub genes) were screened and their functional modules were analyzed using Cytoscape software. The GEPIA database was used to validate the Hub genes, and the Target Scan database was used to predict the microRNAs that regulate the target genes; OncomiR was used to analyze the expressions of the microRNAs in gastric cancer tissues and their relationship with the survival outcomes of the patients. RESULTS: A total of 181 DEGs were identified in gastric cancer, and 10 hub genes were screened by the protein- protein interaction network. Functional analysis showed that these DEGs were involved mainly in protein digestion and absorption, PI3K-Akt signaling pathway, ECM-receptor interaction and platelet activation signal pathway. GEPIA database validation showed that COL1A1 was highly expressed in gastric cancer tissues and was associated with a poor prognosis of patients with gastric cancer. MiR-129-5p was found to bind to the 3'UTR of COL1A1 mRNA, and compared with that in normal tissues, miR-129-5p expression was obviously down-regulated in gastric cancer tissues, and was correlated with the prognosis of the patients. CONCLUSIONS COL1A1 under regulation by MiR-129-5p is a potential therapeutic target for gastric cancer.
Collagen Type I ; drug effects ; Computational Biology ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; MicroRNAs ; therapeutic use ; Phosphatidylinositol 3-Kinases ; Stomach Neoplasms ; drug therapy

OBJECTIVETo understand the molecular characteristics of a dengue virus outbreak in China-Myanmar border region, Yunnan province, 2015 and provide etiological evidence for the disease control and prevention.

METHODSSemi-nested RTPCR was conducted to detect the capsid premembrane (CprM) gene of RNA of dengue virus by using dengue virus NS1 positive serum samples collected in Mengdin township, Gengma county, Yunnan province in July, 2015. Some positive samples were then detected by using PCR with specific primers to amplify the full E gene. The positive PCR products were directly sequenced. Then sequences generated in this study were BLAST in NCBI website and aligned in Megalign in DNAstar program. Multiple sequence alignments were carried out by using Mega 5.05 software based on the sequences generated in this study and sequences downloaded from GenBank, including the representative strains from different countries and regions. Phylogenetic trees were constructed by using Neighbor-Joining tree methods with Mega 5.05 software.

RESULTSTwenty one of 25 local cases and 10 of 14 imported cases from Myanmar were positive for DENV-1. Eight serum samples were negative for dengue virus. A total of 13 strains with E gene (1485 bp), including 8 local strains and 5 imported strains, were sequenced, which shared 100% nucleotide sequence identities. Twelve strains with CprM gene (406 bp) from 9 local cases and 3 imported cases shared 100% nucleotide sequence identities. Phylogenetic analyses based on E gene showed that the new 13 strains clustered in genotype I of dengue virus and formed a distinct lineage.

CONCLUSIONSThis outbreak was caused by genotype I of DENV-1, which had the closest phylogenetic relationships with dengue virus from neighboring Burma area. Comprehensive measures of prevention and control of dengue fever should be strengthened to prevent the spread of dengue virus.

Capsid Proteins ; China ; epidemiology ; DNA Primers ; Databases, Nucleic Acid ; Dengue ; epidemiology ; virology ; Dengue Virus ; genetics ; Disease Outbreaks ; Genotype ; Humans ; Myanmar ; epidemiology ; Phylogeny ; Polymerase Chain Reaction ; Sequence Alignment ; Software