BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

ObjectiveTo investigate whether Shenmai injection （SMI） improves cisplatin resistance in non-small cell lung cancer （NSCLC） by modulating lipid metabolism and inducing ferroptosis. MethodsHuman lung adenocarcinoma cisplatin-resistant A549/DDP cells were divided into the following groups： Blank group， cisplatin group （23.3 μmol·L^-1 cisplatin）， SMI group （20 g·L^-1 SMI）， cisplatin combined with SMI group （23.3 μmol·L^-1 cisplatin + 20 g·L^-1 SMI）， cisplatin combined with ferroptosis inhibitor/inducer Ferrostatin-1/Erastin group （23.3 μmol·L^-1 cisplatin + 10 μmol·L^-1 Ferrostatin-1/5 μmol·L^-1 Erastin）， and cisplatin combined with SMI and Ferrostatin-1/Erastin group （23.3 μmol·L^-1 cisplatin + 20 g·L^-1 SMI + 10 μmol·L^-1 Ferrostatin-1/5 μmol·L^-1 Erastin）. Network pharmacology， transcriptomics and metabolomics， Cell Counting Kit-8 （CCK-8） assay， transmission electron microscopy （TEM）， colorimetric assays， and Western blot analysis were employed to evaluate the effects of these treatments on A549/DDP cell viability， lipid droplet formation， lipid metabolite levels， mitochondrial function， lipid peroxidation， glutathione （GSH） content， total and ferrous iron content， and effects on ferroptiosis and autophagy related protein expression levels. ResultsSMI improved cisplatin resistance in NSCLC mainly by targeting lipid metabolism-related pathways in A549/DDP cells， affecting tumor cell lipid metabolism via autophagy， ferroptosis， and glycerophospholipid metabolism pathways. Compared with the cisplatin group， the cisplatin combined with SMI group showed significantly decreased cell viability （P<0.01）， increased lipid droplet accumulation （P<0.01）， and reduced mitochondrial maximal respiration， basal respiration， mitochondrial membrane potential， GSH content， total iron， and ferrous iron （all P<0.01）. Mitochondrial reactive oxygen species （ROS） was significantly elevated（P<0.01）， and lipid peroxidation levels were significantly increased. Protein expression analysis showed significant downregulation of solute carrier family 7 member 11 （SLC7A11） and p62 （P<0.05，P<0.01） and upregulation of ferritin heavy chain （FTH） and microtubule-associated protein 1 light chain 3Ⅱ （LC3Ⅱ） （P<0.05，P<0.01）. Compared with the cisplatin combined with SMI group， addition of Ferrostatin-1 significantly increased cell viability （P<0.05）， decreased mitochondrial ROS levels （P<0.05）， alleviated mitochondrial shrinkage， and reduced lipid peroxidation. Conversely， addition of Erastin further decreased cell viability （P<0.01）. ConclusionSMI improves cisplatin resistance in NSCLC by inducing oxidative stress， which may trigger ferroptosis through upregulation of lipophagy.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

Objective To address the current blind spots in quality control and the risk of data distortion in radiological health technical service institutions, overcome the limitations of low efficiency and insufficient anomaly identification in manual verification, establish an automatic anomaly early warning mechanism based on AI algorithms, provide accurate clues for health supervision and law enforcement, and significantly enhance the efficiency of industry supervision. Methods On-site inspection data were collected via photographic imaging. Advanced image processing and object detection algorithms were employed to automatically extract and analyze key information from the images. Through data analysis, the system was used to calculate and assess the inspection results. A dynamic early warning engine was developed to automatically trigger alerts upon detection of deviations from standard thresholds or regulatory violations in radiological health technical services. These alerts were delivered through a regulatory information system. Results Following AI model training, the accuracy of the image processing and object detection algorithms reached 99% and the early warning accuracy reached 93%. Compared with the traditional supervision mode, the efficiency of anomaly detection was improved and the average response time was shortened. Conclusion The full-process supervision information system constructed in this study has realized the triple mechanism of pre-event standardization, in-event monitoring, and post-event traceability for radiological health technical services. In particular, the system has established a four-level quality control chain of “institutional self-inspection, intelligent recheck, expert judgment, and administrative action”, providing a technological innovation path for ensuring the radiation protection and safety of medical staff, patients, and the public.

Objective:To explore the CT and MRI features of Rosai-Dorfman disease (RDD) in nasal cavity and paranasal sinus.Methods:The study was a cross-sectional study. From July 2007 to August 2023, the imaging findings of 23 patients with pathologically confirmed sinonasal RDD were retrospectively analyzed in the Eye & ENT Hospital of Fudan University. Among 23 patients, there were nine males and 14 females with 44±16 years old. Imaging features including tumor location, the extent, density, signal, enhancement pattern of tumors, bone change, abnormal lesions in peripheral lymph nodes and other regions were recorded. The apparent diffusion coefficient (ADC) value of lesions in patients performed diffusion weighted imaging (DWI) were measured.Results:For the 23 cases, totally 20 patients showed bilateral sinonasal involvement and three patients had unilateral lesions. Totally nine patients had lesions confined to the nasal cavity and paranasal sinuses, and 14 patients had lesions with extrasinonasal invasion, including orbit (6 cases), nasolacrimal duct (9 cases), anterior skull base (3 cases), nasal dorsum subcutaneous tissue (2 cases) and hard palate (1 case). Soft tissue lesions on the posterior wall of the subglottic trachea were found in 2 cases and intracranial lesions were found in 1 case. Totally 10 patients were accompanied by lymph nodes enlargement. The lesions showed isodense on all 20 non-contrast enhanced CT images, and mild enhancement in three cases, moderate enhancement in seven cases and significant enhancement in seven cases on CT enhancement images. Bone changes were found in 19 of 20 patients on CT, showing mild bone destruction in five cases and bone destruction with hyperplasia in 14 cases. The lesions showed isointense on T 1WI in all 14 cases. The lesions were graded as isointense in nine cases, hypointense in four cases and hyperintense in one case on T 2WI. The lesions displayed moderate to obvious homogeneous enhancement on enhanced MRI. The lesions showed significant diffusion limitation and ADC value was (0.66±0.08)×10 -3 mm 2/s in 11 cases on DWI. Conclusions:The CT and MRI imaging characteristics of sinonasal RDD are diffuse masses on both sides of nasal cavity and paranasal sinuses, accompanied by bone hyperplasia. The lesions show isointense or hypointense on T 2WI, and may involve adjacent tissues and may be accompanied by lymph nodes enlargement in the retropharyngeal and neck.

Dental caries,a chronic disease characterized by tooth decay,occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria,especially Streptococcus mutans,because of its acidogenic,aciduric,and biofilm-forming capabilities.Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents.The current study represents an up-to-date review of in silico approaches of drug design against dental caries,which have emerged more and more powerful complementary to biochemical attempts.Firstly,we categorize the in silico approaches into computer-aided drug design(CADD)and AI-assisted drug design(AIDD)and highlight the specific methods and models they contain respectively.Subsequently,we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S.mutans,such as glucosyltransferases(Gtfs),antigen Ⅰ/Ⅱ(AgⅠ/Ⅱ),sortase A(SrtA),the VicRK signal transduction system and superoxide dismutases(SODs).Finally,we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.

OBJECTIVE To analyze the homology and drug resistance characteristics of clinical carbapenem-resistant Klebsiella pneumoniae(CRKP)isolates from the children and adults in Kunming area so as to provide guidance for prevention and control of CRKP strains.METHODS Totally 41 strains of clinical CRKP isolates were collected from the children in 4 hospitals of Kunming area in 2023,and 54 strains were collected from the adults.The ho-mology of the strains was analyzed by means of repetitive extragenic palindromic-polymerase chain reaction(REP-PCR);the phenotypes of carbapenemases and the genes in the strains were detected.RESULTS The 95 strains of CRKP were divided into 30 genotypes.There was clustering of genotypes in some strains.The type A enzyme was most common among the strains from the adults(47 strains,87.04％),while the type A enzyme(18 strains,43.90％)and the type B enzyme(23 strains,56.10％)were both detected in the strains from the children.A-mong the strains producing type A enzyme,the strains carrying with KPC gene were both dominant among the strains isolated from the adults(44 strains,81.48％)and the strains isolated from the children(18 strains,43.90％).Among the strains producing type B enzyme,the strains carrying with NDM gene were dominant a-mong the strains from the children(22 strains,53.66％).CONCLUSIONS There is colonization and inter-hospital transmission of CRKP strains in the hospitals of Kunming area.It is necessary for the clinical departments of the children's hospitals to strengthen the active screening of the transferring children and carefully carry out the cleaning and disinfection of nosocomial environment so as to reduce the probability of the CRKP infection among the children.Mean-while,the clinicians of the pediatrics department should comprehensively take all the factors into accounts such as the type of enzyme,formulate the appropriate medication regimens and raise the cure rate of the children with CRKP infection.

Objective To evaluate the therapeutic effects of ticagrelor combined with traditional Chinese medicine(TCM)in patients with microvascular angina.Methods A retrospective analysis was conducted on 356 patients diagnosed with microvascular angina who were hospitalized in the Department of Cardiology at the First Hospital of Hebei Medical University between January 1,2022,and January 1,2024.Patients were assigned to a conventional treatment group or a combined TCM-Western medicine treatment group.The conven-tional treatment group received standard Western medicine therapy,whereas the combined treatment group received ticagrelor and TCM based on syndrome differentiation.After four weeks of treatment,coronary flow reserve(CFR),Canadian Cardiovascular Society(CCS)angina classification,and incidence of adverse drug reactions were compared between the two groups.Results The combined TCM-Western medicine treatment group had significantly better outcomes in CFR and CCS angina classification than the conventional treat-ment group(P＜0.05).Conclusion The combination of ticagrelor and TCM is safe and effective for treating patients with microvascular angina.

Purpose To achieve intelligent detection of acute pulmonary embolism(APE)in CT pulmonary angiography based on the Res2Net attention mechanism network.Materials and Methods Retrospectively included patients with suspected of APE who underwent CT pulmonary angiography examination and were diagnosed as APE at the First Affiliated Hospital of Henan University of Chinese Medicine from February 2015 to May 2023.The dataset was randomly divided into training,validation and test set in a ratio of 7∶2∶1.The model was trained based on the Res2Net network,combined with atrous spatial pyramid pooling and attention mechanism modules,and was performed five-fold cross internal validation.Using the area under the receiver operator characteristic curve,sensitivity and specificity to assess the diagnostic performance of the model.Dice similarity coefficient,precision and intersection over union(IOU)were used to assess the segmentation performance of thrombus on the test set and plot the corresponding curves.The performance of the Res2Net attention mechanism network was compared with the classic U-Net and CE-Net model.Results A total of 303 patients with APE were included in this study.There were 212,61 and 30 cases in the training set,validation set and test set,respectively.The model's area under the curve was 0.95,sensitivity was 0.90,specificity was 1.00,Dice similarity coefficient was 0.86,precision was 0.90,Pos-IOU was 0.78 and Neg-IOU was 1.00,respectively.The parameter curves and radar chart showed that the Res2Net attention mechanism network performed better than the U-Net and CE-Net models.The visualization results of the segmentation comparison showed that the Res2Net attention mechanism network achieved higher precision in segmenting pulmonary artery thrombus.Conclusion The Res2Net attention mechanism network has good performance for detection of APE.