Objective:To investigate the clinical and experimental effect of Zhao's Weitiao Ⅲ decoction on colorectal cancer.Methods:Clinical study:After oral administration of Zhao's Weitiao Ⅲ decoction,main symptoms,quality of life,clinical curative effect and survival rate of the patients were observed.Experimental study:Zhao's Weitiao Ⅲ decoction was observed by the antitumor effect on transplanted sarcoma,the influence on cytokine of experimental animal and the inhibition and apoptosis of HT-29 and LOVO cells.Results:Clinical study:Zhao's Weitiao Ⅲdecoction could improve patients’ main symptoms(the total effective rate was 89.52%),improve patients’ quality of life(P

Objective To study the expression of inflammatory factors in the saliva and the stability of implants after implant denture repair in pa-tients with dysplasia of the dentition defect ,and to analyze the prognosis of patients with lipid metabolic disorder. Methods The dentition defect patients with lipid metabolism disorder were selected as the experimental group. Patients with lipid defect were selected as the control group. Saliva was collected before implantation,1 month and 3 months after implantation. ELISA method was used to detect IL-6,IL-1βand TNF-α. Osstell ISQTM radio frequency analyzer was used to detect the stability of the implants and the periodontal status was detected by Florida probe. Re-sults There were no significant differences in the depth of implant probing(PD),bleeding index(BI)and ISQ between the two groups by radio frequency analyzer(all P>0.05). The levels of IL-6,IL-1βand TNF-αin the pre-implantation,1 month and 3 months after implantation were sig-nificantly higher than those in the control group(all P<0.05). The levels of IL-6,IL-1βand TNF-αin the experimental group were significantly higher than those in the control group before planting(all P<0.05) 3 months after planting,there were no significant differences of IL-6,IL-1β, and TNF-αbetween the experimental group and control group(all P>0.05). Conclusion The patients with dyslipidemia after implantation have good implant stability as those with normal blood lipid ,and the patients with dyslipidemia can also obtain good prognosis.

BACKGROUND:Due to good function and aesthetic effect, implant dentures become prevalent in osteoporotic patients with missing teeth. However, whether osteoporosis is a contraindication of dentures as wel as effects of osteoporosis on the bone-implant integration have been not ful y understood.
OBJECTIVE:To compare the levels of alkaline phosphatase, bone mineral density and implant stability in patients with osteoporosis and non-osteoporosis, and to explore whether the osteoporotic patients can achieve good prognosis. METHODS:Forty patients undergoing implant dentures in the Department of Prosthodontics, the First Affiliated Hospital of Xinjiang Medical University since February 2015 were enrol ed, and al otted to experimental (osteoporosis) and control (non-osteoporosis) groups (n=20 per group).
RESULTS AND CONCLUSION:The levels of salivary alkaline phosphatase, bone mineral density and initial implant stability in the experiment and control groups both were lower than those before surgery. There were significant
differences in the implant stability quotient at 1 and 3 months and immediately after implantation between groups. These results indicate that osteoporotic patients undergoing implant surgery can achieve a good prognosis that is similar with non-osteoporosis ones.

Objective:Topredict the three-dimensional dose distribution of regions of interest (ROI) with brachytherapy for cervical cancer based on U-Net fully convolutional network, and evaluate the accuracy of prediction model.Methods:First, 100 cases of cervical cancer intracavity combined with interstitial implantation were selected as the entire research data set, and divided into the training set ( n=72), validation set ( n=8), and test set ( n=20). Then the U-Net was used to construct two models based on whether the uterine tandem and the implantation needles were included as the distinguishing factors. Finally, dose distribution of 20 cases in the test set were predicted using the trained model, and comparative analysis was performed. The performance of the model was jointly evaluated by , and the mean absolute deviation (MAD). Results:Compared with the model without the uterine tandem and the implantation needles, the of the rectum was increased by (16.83±1.82) cGy ( P<0.05), and the or of the other ROI were not different significantly (all P>0.05). The MAD of the high-risk clinical target volume, rectum, sigmoid, small bowel, and bladder was increased by (11.96±3.78) cGy, (11.43±0.54) cGy, (24.08±1.65) cGy, (17.04±7.17) cGy and (9.52±4.35) cGy, respectively (all P<0.05). The MAD of the intermediate-risk clinical target volume was decreased by (120.85±29.78) cGy ( P<0.05). The mean value of MAD for all ROI was decreased by (7.8±53) cGy ( P<0.05), which was closer to the actual plan. Conclusions:U-Net fully convolutional network can be used to predict three-dimensional dose distribution of patients with cervical cancer undergoing brachytherapy. Combining the uterine tube with the implantation needles as the input parameters yields more accurate predictions than a single use of the ROI structure as the input.

ObjectiveTo clarify the therapeutic effect of Huashi Baidu prescription on pneumonia in mice caused by influenza A （H1N1） virus and explore its mechanism based on the transcriptome. MethodA mouse influenza viral pneumonia model was built by intranasal infection with influenza A virus， and mice were continuously administered the drug for five days， so as to investigate the general condition， lung index， viral load， pathological morphology of lung tissue， survival time， and prolongation rate of survival time of mice and clarify the therapeutic effect of Huashi Baidu prescription on influenza viral pneumonia. Transcriptome technology was used to detect the differentially expressed genes in the lung tissue of mice in the model group and the normal group， as well as the Huashi Baidu prescription group and the model group， and the potential core target of the Huashi Baidu prescription for the treatment of influenza viral pneumonia was screened. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to verify the effect of Huashi Baidu prescription on the mRNA expression level of core target genes. ResultCompared with the normal group， the lung index and viral load in the lung tissue of the model group were significantly increased （P<0.05， P<0.01）. Compared with the model group， the high-dose group of Huashi Baidu prescription significantly prolonged the survival time of mice infected with influenza A virus （P<0.05） and significantly reduced the lung index value of mice （P<0.05） and the viral load of lung tissue. The high-dose， medium-dose， and low-dose groups of Huashi Baidu prescription could significantly reduce lung tissue inflammation， blood stasis， swelling， and other pathological changes in mice （P<0.05， P<0.01）. Transcriptome analysis of lung tissue showed that core genes were mainly enriched in the nuclear transcription factor-κB （NF-κB） signaling pathway， interleukin-17 （IL-17） signaling pathway， cytokine-cytokine receptor interaction， and other pathways after the intervention of Huashi Baidu prescription. TRAF6， NFKBIA， CCL2， CCL7， and CXCL2 were the top five node genes with combined score values. Real-time PCR validation showed that Huashi Baidu prescription significantly downregulated the mRNA expression of key genes TRAF6 and NFKBIA in the NF-κB signaling pathway， as well as chemokines CCL2， CCL7， and CXCL2 （P<0.05， P<0.01）. ConclusionHuashi Baidu prescription has a therapeutic effect on influenza viral pneumonia， possibly by inhibiting the expression of key nodes TRAF6 and NFKBIA in the NF-κB signaling pathway and that of chemokines CCL2， CCL7， and CXCL2， reducing the recruitment of inflammatory cells and viral load， and exerting anti-influenza viral pneumonia effects.