OBJECTIVETo investigate the regulatory functions and molecular mechanisms of miR211 in hepatocellular carcinoma (HCC).

METHODSReal-time reverse transcription-PCR was used to analyze the expression of miR-211 in 20 paired clinical specimens of HCC and adjacent noncancerous tissues.QGY7703 and HepG2 cells with stimulation or inhibition of miR-211 expression were used to evaluate the effects on malignant phenotypes with the transwell invasion assay. Candidate target genes of miR-211 were identified by bioinformatic screening and verified by the EGFP report assay, real-time PCR and western blotting. Moreover, the regulatory functions of miR-211 on the target genes were investigated by RNA interference and cell phenotype assays.

RESULTSmiR-211 was up-regulated in HCC tissue specimens (t =6.26, P < 0.01).HCC cells overexpressing miR-211 showed greater invasive capacity than cells with inhibited expression (QGY-7703:t =12.59, P < 0.01; HepG2: t =17.82, P < 0.01). Estrogen receptor a (ESR1) was identified and validated as a target gene of miR-211; knockdown of ESR 1 promoted HCC invasive capacity (QGY-7703:t =8.97, P < 0.01; HepG2:t =29.31, P < 0.01).

CONCLUSIONmiR-211 promotes invasion of carcinoma cells by directly targeting ESR1.

Carcinoma, Hepatocellular ; Cell Line, Tumor ; Estrogen Receptor alpha ; Humans ; Liver Neoplasms ; MicroRNAs ; RNA Interference ; Real-Time Polymerase Chain Reaction

BACKGROUND:Osteoporosis is a common comorbidity in patients with knee osteoarthritis.The impact of osteoporosis on the prognosis of unicompartmental knee arthroplasty is a trending topic of current research. OBJECTIVE:To investigate the effect of different bone densities on the stress value and stress distribution of each structure in the joint after unicompartmental knee arthroplasty using finite element analysis,and to evaluate the correlation between osteoporosis and complications. METHODS:CT and MRI were adopted to obtain the lower limb image data of a volunteer.Geomagic Studio,Ansys workbench,and Mimics were used to establish a finite element model of the knee joint with normal sclerotin condition(T-value≥-1.0).The finite element model of the knee joint with osteopenia(-2.5

Objective Farmer' s markets with live birds (FMLB) are key sites where human infections by influenza A virus subtype H7N9 happened.Approximately 80％ cases have exposed to FMLB.This study is to investigate the geographic relationship between FMLB and human cases based on analysis of internet data of their geographic locations.Methods Using big data from internet,we searched all FMLB in the cities where the human cases have been reported,then analyzed geographic relations,and evaluated the possibility of visits of the patients to the FMLB around them.The densities of FMLB,population and live poultries were also analyzed.Results Forty-two cities and 10 615 markets were included in the study.It is indicated that the number of human cases has positive correlations with the population density,the number and density of markets.Except three markets in Foshan,human cases have been reported within 5 km of 10 of 13 markets,which shows that the live bird trading is highly relevant with the distribution of cases.We identified 13 hot spots in the cities including Hangzhou,Shenzhen,et al,where clustered cases have emerged.Conclusion The numbers of human cases are significantly high in cities where FMLB are detected positive for H7N9 virus.These virus positive markets usually affect the people's residence within 5km area.The number and location of FMLB in cities should be re-evaluated and re-planed for healthy city where the risk of residents infecting avian influenza virus is greatly reduced or eliminated.

Two decades have passed since the first bacterial whole-genome sequencing, which provides new opportunity for microbial genome. Consequently, considerable genetic diversity encoded by bacterial genomes and among the strains in the same species has been revealed. In recent years, genome sequencing techniques and bioinformatics have developed rapidly, which has resulted in transformation and expedited the application of strategy and methodology for bacterial genome comparison used in dissection of infectious disease epidemics. Bacterial whole-genome sequencing and bioinformatic computing allow genotyping to satisfy the requirements of epidemiological study in disease control. In this review, we outline the significance and summarize the roles of bacterial genome sequencing in the context of bacterial disease control and prevention.We discuss the applications of bacterial genome sequencing in outbreak detection, source tracing, transmission mode discovery, and new epidemic clone identification. Wide applications of genome sequencing and data sharing in infectious disease surveillance networks will considerably promote outbreak detection and early warning to prevent the dissemination of bacterial diseases.
Bacteria ; genetics ; Bacterial Infections ; epidemiology ; microbiology ; transmission ; Bacterial Typing Techniques ; Disease Outbreaks ; prevention & control ; Genome, Bacterial ; Genotype ; Humans ; Population Surveillance ; Whole Genome Sequencing

Animals ; Birds ; virology ; China ; epidemiology ; Computer Communication Networks ; Epidemiologic Methods ; Influenza A Virus, H7N9 Subtype ; isolation & purification ; Influenza in Birds ; epidemiology ; transmission ; virology