Objective To obtain the gene coding for the group 5 allergens from Dermatophagoides farinae ( Derf5 ) and predict its molecular characteristics. Methods The total RNA of D. farinae were extracted, and the gene Derf5 was amplified by RT-PCR with the primers designed according to previous sequence published in GenBank. The target gene was linked into pMD19-T Simple plasmid, sequenced and analyzed by bioinformatics software. Results The sequence homology reached to 97.8% between our sequenced result with one complete open reading fragment (ORF) and the reference. The gene encode an extracellular hydrophobic protein with 132 amino acid resides, one signal peptide from 1 to 19 position and one transmembrane domain from 1 to 19 position. The secondary structure was composed of extended strand (1. 52% ), random coil (7.58%) and alpha helix (90.91%). The encoded protein was deduced to have two Casein kinase Ⅱ phosphorylation sites. The similarity of the amino acid sequence of the group 5 allergens were 78% between D. farinae and D. pteronyssinus. Conclusion The gene Derf5 was cloned successfully, and its characteristics was primarily predicted.

Objective:To construct the plant expression vector of Der f1 allergen of Dermatophagoides pteronyssinu and expression in tobacco lamina.Methods:The Der f1 gene was amplified from the glycerin bacterium which contained pET28a(+)-Der f1 plasmid,cloned into the pMD 19-T plasmid,and then sequenced.The Der f1 gene was digested by ClaⅠand SalⅠ,and cloned into potato virus X (PVX) to construct plant expression vector PVX-Der f1,and then was transformed agrobacterium tumefaciens.The positive one was selected to infect tobacco lamina for expressing target protein.The protein was identified and analysed by SDS-PAGEand Western blot.Results:Digestion and sequence analysis confirmed that the plant expression vector was correct,and the SDS-PAGE and Western blot results showed that the molecular weight of the protein was about 34M_r and it could specific binding with positive serum.Conclusion:The plant expression vector of Der f1 is successfully constructed and the recombinant protein is also produced.

Objective To explore the effect of atorvastatin on the proliferation and apoptosis of K562 cells andto investigate its mechanisms.Methods The cells were treated by different concentrations of atorvastatin.The CCK-8 assay was employed to detect the cell proliferation.The cell apoptosis was detected by AnnexinV-FITC/PI dual staining;the flow cytometry was used to detect the cellular cycle;the activities of caspase-3,-8,-9 were detected by the colorimetric method;qRT-PCR was employed to measure the mRNA expression levels of Bcl-2 and PDCD5 in K562 cells.Results Atorvastatin could inhibit the proliferation of K562 cells in a time-and dose-dependent manner(P＜0.05);and induced the apoptosis of K562 cells,the percentage of G0/G1 phase cells was increased after atorvastatin treating k562 cells(P＜0.01),while the percentage of S phase cells was decreased(P＜0.01),moreover which showing the concentration dependence(P＜0.01);atorvastatin activated the caspase-3,-8,-9 (P＜0.01);down-regulated Bcl-2 mRNA expression and up-regulated PDCD5 mRNA expressionin a concentration dependence(P＜0.01).Conclusion Atorvastatin can inhibit the proliferation and induce apoptosis in K562 cells.

Objective:To propose a method of cervical cytology screening based on deep convolutional neural network and compare it with the diagnosis of cytologists.Method:The deep segmentation network was used to extract 618 333 regions of interest (ROI) from 5, 516 cytological pathological images. Combined with the experience of physicians, the deep classification network with the ability to analyze ROI was trained. The classification results were used to construct features, and the decision model was used to complete the classification of cytopathological images.Results:The sensitivity and specificity were 89.72%, 58.48%, 33.95% and 95.94% respectively. Among the smears derived from four different preparation methods, this algorithm had the best effect on natural fallout with a sensitivity of 91.10%, specificity of 69.32%, positive predictive rate of 41.41%, and negative predictive rate of 97.03%.Conclusion:Deep convolutional neural network image recognition technology can be applied to cervical cytology screening.

Objective To investigate the effects of high-definition transcranial direct current stimulation(HD-tDCS)on the modulation of the H-reflex and M-wave during ankle dorsiflexion-plantar flexion fatigue tasks to provide direction for the application of HD-tDCS in mitigating neuromuscular fatigue.Methods Twenty healthy young male participants were recruited and randomly assigned to either the real stimulation or sham stimulation group,with 10 participants in each group.The intervention consisted of a 5-day single-blind HD-tDCS application(duration:20 min;intensity:2 mA;target:Cz).Baseline measurements of the H-reflex and M-wave under resting conditions,M-wave during maximal voluntary isometric contraction(MVIC)of the dorsiflexor muscle,and MVIC torque of the dorsiflexor and plantar flexor muscles were obtained.An ankle dorsiflexion fatigue task was performed to determine the time to achieve fatigue for the task.The same fatigue task was repeated and evaluated one day after the intervention.A repeated-measures two-factor(stimulation condition x pre/post fatigue)analysis of variance(ANOVA)was used to analyze the effects of independent variables on the mechanical properties of the muscles and α-motoneuron conduction characteristics.Results After fatigue,voluntary activation(VA),maximal H-reflex(Hmax),maximal M-wave(Mmax),and dorsiflexor and plantar flexor MVIC torques in both groups were significantly reduced compared with pre-fatigue levels(P＜0.05).However,compared to the real stimulation group,the sham stimulation group showed a more significant decline in VA and plantar flexor MVIC torque(P＜0.05).Conclusions A continuous 5-day HD-tDCS intervention can effectively increase α-motoneuron activity at the spinal segment.It can also exert an inhibitory effect on reducing information transmission capacity at the peripheral neuromuscular junction under the ankle dorsi-plantarflexion fatigue task.

Neurosurgery navigation system, which is expensive and complicated to operate, has a low penetration rate, and is only found in some large medical institutions. In order to meet the needs of other small and medium-sized medical institutions for neurosurgical navigation systems, the scalp localization system of neurosurgery based on augmented reality (AR) theory was developed. AR technology is used to fuse virtual world images with real images. The system integrates computed tomography (CT) or magnetic resonance imaging (MRI) with the patient's head in real life to achieve the scalp positioning. This article focuses on the key points of Digital Imaging and Communications in Medicine (DICOM) standard, three-dimensional (3D) reconstruction, and AR image layer fusion in medical image visualization. This research shows that the system is suitable for a variety of mobile phones, can achieve two-dimensional (2D) image display, 3D rendering and clinical scalp positioning application, which has a certain significance for the auxiliary neurosurgical head surface positioning.
Humans ; Imaging, Three-Dimensional ; Magnetic Resonance Imaging ; Neurosurgery ; methods ; Scalp ; Tomography, X-Ray Computed