Adult ; Antigens, CD20 ; metabolism ; Empyema, Pleural ; complications ; diagnostic imaging ; pathology ; virology ; Epstein-Barr Virus Infections ; Humans ; Ki-67 Antigen ; metabolism ; Lymphoma, Large B-Cell, Diffuse ; metabolism ; pathology ; surgery ; virology ; Male ; Pleural Neoplasms ; complications ; metabolism ; pathology ; surgery ; virology ; Radiography

Autophagy is an active research area in the biomedical field as its role has been identified in many physiological and pathological processes. Accordingly, there is a growing demand to identify, quantify and manipulate the process accurately. Meanwhile, there is great interest in identifying compounds that modulate autophagy because they may have applications in the treatment of a variety of autophagy-related diseases. In this review, we summarize the current status of autophagy screening systems to facilitate identification of autophagy modulators.
Autophagy ; Humans

Objective To establish virtual three-dimensional instrument and cerebral aneurysm models by using three-dimensional moulding software,and to explore the effect of the models in interventional preoperative simulation.Methods The virtual individual models including cerebral arteries and aneurysms were established by using the three-dimensional moulding software of 3D Studio MAX R3 based on standard virtual cerebral aneurysm models and individual DSA image.The virtual catheter,guide wire,stent and coil were also established.The study of interventional preoperative simulation was run in personal computer,and included 3 clinical cases.Results The simulation results of the working angle and the moulding angle of the head of catheter and guide wire in 3 cases were identical with that of operation results. The simulation results of the requirement of number and size of coil in 1 case of anterior communicating aneurysm and 1 case of posterior communicating aneurysm were identical with that of operation results.The simulation results of coil for aneurysmal shape in 1 case of giant internal carotid artery aneurysm were more than 2 three-dimensional coils with size of 3mm?3 cm from the operation results,and the position of the second coil in aneurysmal neck was adjusted according to the results of real-time simulation.The results of retrospective simulation of operation procedure indicated that the simulation methods for regular and small aneurysms could become a routine simulation means but more simulation experience was needed to build up for the giant aneurysms.Conclusions The virtual three-dimensional instrument and cerebral aneurysm models established by the general software provided a new study method for neuro-interventional preoperative simulation,and it played an important guidance role in developing neuro- interventional operation.

A central portion of nifS, designated nifS', was amplified from Azotobacter vinelandii. The nifS' was cloned into pUC18 to make pUCS. Then pUCS was integrated into Azotobacter vindandii chromosome DNA by homologous recombination. This nifS disruption mutants were generated by single cross-over event and selected by Amp resistence on BBGN medium. The nifS disruption mutant (named SU1) was affirmed by southern blot and PCR amplification. SU1 grows rapidly on BBGN, but very slowly on Burk's N-free medium. This phenomenon showes that SU1 nearly lost its nitrogen fixation ability because of the disruption of nifS. The successful construction of SU1 is helpful for further research on the effect of nifS on the structure and function of nitrogenase component-Ⅰ and Ⅱ.

Adult ; Bone Marrow Transplantation ; Fractures, Ununited ; therapy ; Humans ; Male ; Transplantation, Autologous

Objective To establish protein fingerprints of common bacteria in clinics and to lay a foundation for rapid identification of bacteria.Methods Strains of Escherichia coli,Klebsiella pneumoniae,Pseudomonas aeruginosa and Staphylococcus aureus were detected by surface enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS).Stable expression protein peaks were screened and the data was input into the self-constructed Fingerwave software for identification of target bacteria by protein fingerprint comparison.Two hundred and fifty-six clinical isolates,including E.coli,K.pneumoniae,P.aeruginosa and S.aureus were detected and the data was compared with constructed database to evaluate its diagnostic value.Results The protein fingerprints including four common bacteia was used to identify the target bacteria with identification rate of 93.1％ (54/58) for E.coli,87.2％ (75/86) for K.pneumoniae,96.2％ (60/63) for P.aeruginosa and 96.2％ (51/53) for S.aureus,respectively.Conclusion Common bacteria can be rapidly identified by using the protein fingerprint comparison,which provides a powerful tool for bacterial identification.

Objective To investigate the mechanism of one carbapenems resistant Raoultella planticola( R.planticola) isolate.Methods This is an experimental study.R.planticola was isolated from a patient′s drainage fluid from orthopedic department in November 2010 in Sichuan Provincial People′s Hospital.Minimum inhibitory concentration of R.planticola to 13 antibiotics was determined by using the agar dilution method.Modified Hodge test was used to detect carbapenemase .EDTA synergistic test was performed to research metallo-beta-lactamase.The genes coded the β-lactamase were amplified by polymerase chain reaction ( PCR ) , including class A carbapenemase ( KPC ) , class B carbapenemases (NDM, IMP, VIM, SIM), extended spectrum beta-lactamases[ESBL(CTX, TEM, SHV)], and AmpCβ-lactamases ( FOX, EBC, ACC, DHA, CIT, MOX).Results The susceptibility test showed that R.planticola was resistant to 9 antibiotics.MIC value of meropenem for R.planticola was up to 32 mg/L.R.planticola kept intermediary to imipenem , whereas it was susceptible to cefepime , amikacin and polymyxin B.Modified Hodge test and EDTA synergistic test were positive in R.planticola.Class B carbapenemase (IMP) gene and two extended spectrum β-lactamases(CTX, SHV) genes were positive by PCR.The genes were conformed as IMP-4, CTX-M3 and SHV-12 by sequencing and compared with GenBank.Other resistant genes were negative.Conclusion IMP-4 was identified in R.planticola, the combined produce IMP-4 and ESBLs might be the main mechanism of R.planticola resistant to carbapenems.

AlM:To observe the changes of binocular vision in V-pattern exotropia children before and after surgical correction, and the effect of training in reconstructing the binocular vision after surgical corrections.METHODS: Sixty V-pattern exotropia children were enrolled in this study and were divided into three groups according to their age:group A (4~6 years old), group B (7~9 years old), and group C (10~12 years old), 20 cases for each group. Patients received routine refraction and ophthalmic examinations. Distance and near deviation were measured by prism-covering method and synoptophore. The simultaneous perception and fusion were examined with a synoptophore, and the stereacuity was measured with stereograms ( Titmus) . The children who didn’t reconstruct binocular vision function 1wk after surgery received binocular vision training. The data were recorded before and 1 , 2, 4, and 8wk after surgery. RESULTS: Binocular vision significantly improved among the children after surgery in group A and B ( P<0. 05 ) . Significantly divergence showed between group C and the other groups 1wk after surgery ( P < 0. 05 ). Binocular vision of the three groups all significantly improved 8wk after surgery, with no significant differences (P>0. 05). CONCLUSlON: V - pattern exotropia children can benefit from early surgical correction and training after surgery in reconstruct binocular vision.

Objective To establish protein fingerprinting identification model of Pseudomonas aeruginosa (P. aeruginosa) and to lay a foundation for rapid identification of P. aeruginosa by proteinchip golden array. Methods Sixty-four P. aeruginosa and one hundred and ninety-nine control bacteria identified in our laboratory were collected and divided into training and testing group. Surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) and proteinchip golden array were used to detect the protein profiling of the bacteria. Data were automatically collected by Ciphergen Proteinchip Software and protein markers of P. aeruginosa were screened by BioMarker Wizard Software. Classification tree model was developed and validated by BioMarker Patterns Software. The model was blindly tested with twenty-nine P. aeruginosa and sixty-four control bacteria. Results Eighty protein peaks were detected between 3000 and 20 000, among which fifty-eight ones showed significantly difference between P. aeruginosa and the control bacteria (P＜0.01). By BioMarker Patterns Software, one protein peak ( M/Z at 14 045.2) was chosen to develop a classification tree model. The results exhibited with sensitivity of 96. 55% and specificity of 100%. Conclusion Proteinchip golden array has the potential for rapid identification of P. aeruginosa.

Cell Transformation, Neoplastic ; drug effects ; genetics ; Dimethyl Sulfoxide ; pharmacology ; Electroporation ; methods ; HL-60 Cells ; Humans ; Membrane Proteins ; genetics ; Neoplasm Proteins ; genetics ; RNA Interference ; RNA, Small Interfering ; genetics ; Stromal Interaction Molecule 1 ; Transfection