Objective To explore the exposure condition of DDR, screen -film radiography and the radiation dose to patients, and evaluate value of the DDR system. Methods Five thousand images of DDR and screen-film radiography were selected and then analyzed by three junior radiologists and two senior radiologists. Results 1.The quality of the images was classified into grades A ,B ,C: grade A in 92.8 % , grade B in 7.2 % , grade C in 0% ,waste in 0 % for DDR group and grade A in 40.8% , grade B in 41.7 %,grade C in 15.5 % ,waste in 2% for screen-film radiography group. 2. The required voltage of DDR system raises 3-24kV than screen-film radiography and radiation exposure was increased about 25 % . Conclusions The imaging quality of DDR was obviously higher than the screen -film radiography, but the disadvantage of DDR system was the higher exposure condition required, which increase X-ray radiation dose for patients.

We evaluated the patient in the early,advanced or healing phase of the disease by MRI in the treatment of chronic brucellosis spondylitis and to guide the clinical treatment.MRI images of 40 patients with clinically diagnosed chronic brucellosis spondylitis were analyzed retrospectively.The imaging findings of early,advanced and healing patients were summarized.MRI showed abnormal signals in the vertebral body,intervertebral disc,paraspinaI and psoas muscle.It is early stage if the intervertebral space was normal,and advanced stage if combined with interverbral space stenosis.It demonstrated short T1 and short T2 signal or similar to the normal vertebral body,combined with intervertebral space stenosis,for the healing stage.According to the specific imaging manifestations of chronic brucellar spondylitis in the course of disease development,it is possible to evaluate the clinical stage of the disease and guide the rational selection of clinical treatment.

Pulldown assay is an in vitro method for studies of protein-protein interactions, in which tagged proteins are usually expressed as the bait to enrich other proteins that could bind to them. In this technology, the GST tag is broadest used for its modest size and hydrophilic property. In most cases, the GST tag could increase the hydrophility of the fusion protein and help to avoid the formation of inclusion bodies. However, in the other few cases, the target protein may be strongly hydrophobic or have complicated structures that were hard to fold and assemble in correct conformations without champerons, and even the existence of GST tag could not make them soluble. These proteins were always expressed as inclusion bodies and had no functions. LMO2 was a small molecular weight and insoluble protein, in this study, GST system and MBP system were used to express GST-LMO2 and MBP-LMO2 fusion proteins, respectively. We found that GST-LMO2 fusion protein was expressed as inclusion bodies whereas MBP-LMO2 fusion protein was expressed in soluble form. Moreover, the production rate of MBP-LMO2 was also much higher than GST-LMO2. Then MBP-LMO2 fusion proteins and renatured GST-LMO2 fusion proteins were used as bait in pulldown assay to study the interaction between LMO2 and endogenous GATA1 in K562 cells. Western blot analyses showed that both of these proteins could bind to endogenous GATA1 in K562 cells, but recovered GATA1 protein by MBP-LMO2 fusion protein was much more than GST-LMO2 fusion protein. These results suggest that using of MBP system is a helpful attempt in the case of studying small molecular weight, strong hydrophobic proteins.
Adaptor Proteins, Signal Transducing ; Carrier Proteins ; chemistry ; Chemical Precipitation ; DNA-Binding Proteins ; chemistry ; GATA1 Transcription Factor ; chemistry ; Genetic Vectors ; Glutathione Transferase ; chemistry ; Humans ; K562 Cells ; LIM Domain Proteins ; Maltose-Binding Proteins ; Metalloproteins ; chemistry ; Protein Binding ; Protein Interaction Domains and Motifs ; Protein Renaturation ; Proto-Oncogene Proteins ; chemistry ; Recombinant Fusion Proteins ; genetics ; metabolism

Bone morphogenetic protein 2 (BMP2), which belongs to the transforming growth factor-beta (TGF-beta) superfamily, is a multifunctional molecule with distinct abilities to induce bone formation. BMP2 has been identified to have eminent pharmaceutical importance for clinical application. We previously constructed stable cell line in Chinese hamster ovary cells (CHO) that highly expressed recombinant human BMP2 (rhBMP2). For large-scale production of the recombinant protein used in clinical application, it is critical to have both high expression and stability of the protein. In the present study, the stability of the cell line (rCHO(hBMP2)-C8) with the highest expression, as well as the stability of rhBMP2 protein were investigated systematically. We cultured the rCHO (hBMP2)-C8 cell line in the presence or absence of MTX for two months, the cell growth and rhBMP2 production characteristics were examined during the culture; we found the duration that the rCHO(hBMP2)-C8 cell line could secret rhBMP2 continually into the serum-free medium. Moreover, we detected the temperature sensitivity of rhBMP2 in culture medium. This study will contribute to our understanding for further producing rhBMP2 by large-scale culture technology.
Animals ; Bone Morphogenetic Protein 2 ; biosynthesis ; genetics ; CHO Cells ; Cell Culture Techniques ; methods ; Cricetinae ; Cricetulus ; Culture Media ; Genetic Vectors ; genetics ; Humans ; Recombinant Proteins ; biosynthesis ; genetics

Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.

In order to overcome the defects of the motor function evaluation systems contained in current tele-rehabilitation devices, such as inconvenient, incomplete of measurement position, nonstandard and lacking of humanized design, we designed and developed a tele-rehabilitation gradient motor function self-evaluating system in this paper. Based on Brunnstrom stage, this system which was competitive comparing to manual evaluations, common tele-rehabilitation assessments and similar nonmedical products, realized the quantitative motor assessment for both limbs of stroke patients using the self-developed algorithms. The clinical trials proved that the system was feasible and accurate.
Algorithms ; Clinical Trials as Topic ; Humans ; Research Design ; Stroke ; Stroke Rehabilitation ; Telerehabilitation