Vascular endothelial growth factor (VEGF) inhibitors are drugs that target and inhibit tumor angiogenesis. By blocking the signaling pathway of VEGF and its receptor, they suppress tumor proliferation and play a crucial role in tumor treatment. However, their side effects, such as hypertension, proteinuria, hand-foot skin reactions, and myelosuppression, during treatment seriously affect patients' treatment compliance and quality of life. The development of intervention strategies for the side effects of VEGF inhibitors is of great importance for tumor treatment. This article reviews the clinical characteristics and toxic mechanisms of common side effects caused by VEGF inhibitors during tumor treatment and summarizes intervention strategies that combine traditional Chinese and Western medicines. Drug dosages were precisely monitored and adjusted to achieve antitumor treatment. Patients' discomfort symptoms are improved through prescriptions that act by tonifying qi and promoting blood circulation, strengthening the spleen, and tonifying the kidney. The combination of traditional Chinese and Western medicines is used to treat patients, thus providing a safe and effective treatment plan for patients with cancer.

SARS-CoV-2 and its emerging variants continue to pose a significant global public health threat. The SARS-CoV-2 main protease (M^pro) is a critical target for the development of antiviral agents that can inhibit viral replication and transcription. In this study, we identified chebulagic acid (CHLA), isolated from Terminalia chebula Retz., as a potent non-peptidomimetic and non-covalent M^pro inhibitor. CHLA exhibited intermolecular interactions and provided significant protection to Vero E6 cells against a range of SARS-CoV-2 variants, including the wild-type, Delta, Omicron BA.1.1, BA.2.3, BA.4, and BA.5, with EC₅₀ values below 2 μmol/L. Moreover, in vivo studies confirmed the antiviral efficacy of CHLA in K18-hACE2 mice. Notably, CHLA bound to a unique groove at the interface between M^pro domains I and II, which was revealed by the high-resolution crystal structure (1.4 Å) of the M^pro-CHLA complex, shrinking the substrate binding pocket of M^pro and inducing M^pro aggregation. CHLA was proposed to act as an allosteric inhibitor. Pharmacokinetic profiling and safety assessments underscore CHLA's potential as a promising broad-spectrum antiviral candidate. These findings report a novel binding site on M^pro and identify antiviral activity of CHLA, providing a robust framework for lead compounds discovery and elucidating the underlying molecular mechanisms of inhibition.

Objective:To apply quality function deployment(QFD)method to formulate management strategy for usage quality of medical equipment,so as to provide a reference for ensuring the safety of using medical equipment.Methods:A questionnaire about the guarantee for the requirement of usage quality of medical equipment was designed,so as to obtain the information of the users of clinical department of The Affiliated Xinghua Hospital to Kangda College of Nanjing Medical University for the requirement of usage quality of medical equipment in using medical equipment from February to April 2024,and confirm the important degree of the requirement.Then,the QFD method was adopted to convert the requirements of users for medical equipment to the required technical indicators of guaranteeing usage quality of medical equipment,and the priority technical guarantee measures of the important degree were quantitatively obtained.Results:A total of 478 questionnaires were issued,and 442 valid questionnaires were retrieved,and the valid recovery rate of questionnaire was 92.47%.The questionnaire identified and analyzed 12 requirements of three dimensions of users in using medical equipment,and they were converted to the top six technical guarantee measures of the strategy of quality management of using medical equipment,which included equipment function,criticality of equipment mission,type of service provider,compliance of rules and regulations,requirements of maintenance,and service life.Conclusion:QFD method can help medical engineering department to establish a management system of usage quality with quantitative analysis for medical equipment,and enhance the management level for the quality of medical equipment in medical institutions,and realize maximize benefit of medical equipment.

Objective:To apply quality function deployment(QFD)method to formulate management strategy for usage quality of medical equipment,so as to provide a reference for ensuring the safety of using medical equipment.Methods:A questionnaire about the guarantee for the requirement of usage quality of medical equipment was designed,so as to obtain the information of the users of clinical department of The Affiliated Xinghua Hospital to Kangda College of Nanjing Medical University for the requirement of usage quality of medical equipment in using medical equipment from February to April 2024,and confirm the important degree of the requirement.Then,the QFD method was adopted to convert the requirements of users for medical equipment to the required technical indicators of guaranteeing usage quality of medical equipment,and the priority technical guarantee measures of the important degree were quantitatively obtained.Results:A total of 478 questionnaires were issued,and 442 valid questionnaires were retrieved,and the valid recovery rate of questionnaire was 92.47%.The questionnaire identified and analyzed 12 requirements of three dimensions of users in using medical equipment,and they were converted to the top six technical guarantee measures of the strategy of quality management of using medical equipment,which included equipment function,criticality of equipment mission,type of service provider,compliance of rules and regulations,requirements of maintenance,and service life.Conclusion:QFD method can help medical engineering department to establish a management system of usage quality with quantitative analysis for medical equipment,and enhance the management level for the quality of medical equipment in medical institutions,and realize maximize benefit of medical equipment.

Objective:To develop a machine learning algorithm based on habitat imaging(HI),which can be used in the grading of gliomas by using multimodal magnetic resonance imaging(MRI),so as to construct the model of support vector machine(SVM)and the visualized heterogeneous regions of gliomas.Methods:A total of 335 glioma patients were collected from the 2019 brain tumor segmentation(BraTS)challenge competition of World Health Organization(WHO),which included 259 cases with high-grade gliomas(HGG)and 76 cases with low-grade gliomas(LGG).Subregions were divided based on HI technology.The PyRadiomics open-source package was used to extract the image features of region of interest(ROI),and to screen the features that stronger correlated with the high and low-grade gliomas.An SVM model was used to classify and predict the screened feature data.The heterogeneity of gliomas in images was analyzed through visualized characterization.The efficacy of glioma grading was assessed by using the area under curve(AUC)of the receiver operating characteristic(ROC)curve.Results:The AUC of test set exceeded 90%.The average accuracy of the performance indicators of test set was(92.74±2.88)%,and the average sensitivity was(93.90±2.10)%,and the average specificity was(90.36±4.59)%,and the average F1 score was(95.24±0.66)%when the tumors were divided into six habitat regions.The SVM model could showed important sub-regions in glioma grading in three-dimensional space.Conclusion:The study method based on HI has significant advantages in glioma grading,which can effectively realize visualized heterogeneity of tumor and construct model of the heterogeneity of tumor.

Objective: To investigate the expression of the Y chromosome gene lysine-specific demethylase 5D(KDM5D) in male bladder cancer and its effects on cancer progression, thereby explaining gender-related prognostic differences in bladder cancer. Methods: Bioinformatics analysis was conducted to identifyKDM5Das a differentially expressed Y chromosome gene with prognostic significance in bladder cancer based on data from the TCGA database. The expression ofKDM5Din bladder cancer cell lines, collected clinical bladder cancer tissues, and adjacent normal epithelial tissues were examined using quantitative Real-time PCR(qPCR), Western blot, immunofluorescence, tumor microenvironment analysis, and bioinformatics pathway analysis. The effects ofKDM5Don bladder cancer cell proliferation and migration were validated through cell experiments followingKDM5Dknockdown and overexpression. Additionally, clinical data onKDM5Dexpression in bladder cancer tissue arrays were statistically analyzed in relation to metastasis and recurrence. Results: KDM5Dwas generally downregulated in male bladder cancer but exhibited variable expression in different bladder cancer cell lines and between recurrent and non-recurrent bladder cancers. Overexpression ofKDM5Dinhibited tumor cell proliferation and migration, and lowerKDM5Dexpression was associated with higher recurrence and metastasis rates. Bioinformatics analysis suggested thatKDM5Dmight influence tumor metastasis or recurrence by affecting immune cell aggregation and epithelial-mesenchymal transition. Conclusion KDM5Dis a protective gene specific to male bladder cancer and may be associated with the generally better prognosis observed in male compared to female bladder cancer patients.

Objective:To propose a model that could improve image quality of cone-beam computed tomography(CBCT),which based on region-discriminative generative adversarial networks(GAN),in radiotherapy for cervical cancer,so as to meet the requirements of self-adaptive radiotherapy for image quality.Methods:We employed a region-discriminative strategy and a generative adversarial networks idea to construct a model of improving CBCT image quality that could focus on local details of the images of radiotherapy for cervical cancer,which discriminator could improve the quality of generating local details of images.This model of image quality was applied to CBCT images of radiotherapy for cervical cancer.And then,the effects of processing image were evaluated through quantitative indicators and visualization.Results:Both texture clarity and contrast were significantly enhanced after CBCT image quality was improved.The signal to noise ratio of peak value of images was increased by 47.2%,and the indicator of similarity of structure was enhanced to>0.838.Compared with other model,both visualization and indicators can appear better efficiency of model.Compared with Unet network and CycleGAN network,the similarities of structure were respectively increased by 11.88% and 19.54%,and the signal to noise ratios were respectively increased by 19.75% and 25.99%.Conclusion:The GAN bases on region-discrimination can significantly improve the quality of generating integral and detailed CBCT image of radiotherapy for cervical cancer,which can provide new technical pathway for image quality of CBCT with low dose,and can play an important role for improving safety and effectiveness of radiotherapy.It has importantly clinical value for formulating and executing radiotherapy plan.

Clinical microbiology examination technology experiment is an important part of clinical microbiology examination technology teaching. In the experimental teaching of clinical microbiology examination technology, the virtual simulation technology was combined with traditional teaching to give full play to the advantages of the virtual experimental platform. As to experimental projects that couldn't be carried out in traditional teaching and some important experimental projects, students could learn on the virtual experimental platform, and after learning, they would participate in the corresponding assessment. The perfect combination of the two can solve the problem of high experimental cost and limited experimental content in the current experimental class, make up for the shortcomings of traditional teaching, realize the sharing of teaching resources. Besides, it can strengthen the students' experimental operation skills and enhance the interest of learning for cultivation of application-oriented medical talents.

Objective To explore the clinical curative effect of immunopotentiator combined with antiviral therapy in the treatment of children with recurrent respiratory tract infections.Methods 56 children with recurrent respiratory tract infections were selected as study subjects,and they were divided into two groups according to different therapeutic methods,28 cases in each group.The control group was given conventional antiviral treatment,the observation group was treated with immunopotentiator combined with antiviral therapy.The serum levels of IgA,IgG,IgM and peripheral blood T cell subsets CD3+,CD4+,CD8+ levels were detected in the two groups before treatment and after treatment.The fading away of the main symptoms and signs,and the clinical efficacy were observed.Results The fever subsided time [(1.98 ± 0.64) d],cough fade time [(1.65 ± 0.47) d] and lung's fading time [(2.38 ± 0.57) d] of the observation group were significantly shorter than those of the control group(all P ＜ 0.05).The total effective rate of the observation group was 92.86％,which was obviously higher than 67.86％ of control group(x2 =5.54,P ＜ 0.05).The serum immunoglobulin IgG [(9.09 ± 3.01) g/L],IgA [(1.75 ± 0.57) g/L],IgM [(1.39 ± 0.42) g/L] of the observation group after treatment had statistically significant differences compared with the control group (t =0.038,0.041,0.027,all P ＜0.05).The T lymphocyte subsets CD~ [(59.4 ± 8.9) ％],CD4+ [(40.5 ±4.4)％],CD8+ [(29.8 ± 4.7) ％] of the observation group after treatment had statistically significant differences compared with the control group (t =0.044,0.039,0.037,all P ＜ 0.05).Conclusion The application of immunopotentiator combined with antiviral therapy in the treatment of children with recurrent respiratory tract infections had exactly clinical curative effect,and it is worthy of popularization and application.

The new training standards of medical laboratory technology demand the graduates of medical laboratory technology should have the basic scientific research ability and quality. In order to com-plete the teaching work better and achieve the above training objectives, the members of the research group have made some attempts, adopting PBL, CBL and other teaching methods in theoretical teaching, develop-ing open experiments and comprehensive design experiments in experimental teaching, organizing students to study extracurricular undergraduate subject in spare time, in order to provide some basis for the training of students majoring in medical laboratory technology.