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.

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.

Genomic imprinting refers to the phenomenon of differential expression of two alleles due to their different parental origins. Genes that produce genomic imprinting are usually called imprinted genes. The genetic effect caused by the presence of imprinted genes is called parent-of-origin effect. Parent-of-origin effect and genomic imprinting play important roles in the pathophysiological mechanism and occurrence and development of cardio-metabolic diseases. In-depth exploration of the law and potential roles of imprinted genes and parent-of-origin effects will help to better understand the mechanism of cardio-metabolic diseases, and also provide important theoretical basis for the precise treatment of diseases related to imprinted genes.

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.

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.

Objective To observe the efficacy of self-guided attention network for detecting responsible lesions related to cerebral palsy(CP)in children with periventricular white matter injury(PVWMI).Methods Totally 383 children with PVWMI were retrospectively enrolled and divided into CP group(n=243)and non-CP group(n=140),while 214 children without obvious brain abnormality on brain MRI were taken as control group.ROI of 4 key anatomical structures related to CP,i.e.centrum semiovale,posterior limb of internal capsule,cerebral peduncle and thalamus were delineated on T1WI,while responsible lesions related to CP within the key anatomical structures were labeled on T2WI,and the images were then registrated and used as input of the networks.ResNet34 network was adopted combined with attention and self-guided networks to train the network for detecting responsible lesions related to CP in children with PVWMI,and their efficacies were evaluated.The optimal network was screened,and its efficacy for segmenting the key anatomical structures was evaluated.Results Self-guided attention network was the optimal network,its area under the curve(AUC)for detecting lesions was 0.794-0.914,and the Dice similarity coefficient for segmenting the key anatomical structures was 0.702-0.764.Conclusion Self-guided attention network could be used for preliminarily detecting responsible lesions related to CP in children with PVWMI.

Malignant tumor is a serious and difficult disease threatening human health， which has a high morbidity and mortality rate worldwide. Traditional Chinese medicine has unique advantages in improving the therapeutic effect of malignant tumors and alleviating adverse reactions. Traditional Chinese medicine believes that Qi deficiency and blood stasis are important pathogeneses in the development of malignant tumors， and the method of supplementing Qi and activating blood is an effective strategy for treating malignant tumors. Astragali Radix， sweet in taste and warm in nature， has effects of tonifying Qi and rising Yang， strengthening the exterior and reducing sweat， promoting fluid and nourishing blood. Curcumae Rhizoma， acrid and bitter in taste and warm in nature， has the effects of promoting Qi and breaking blood stasis， eliminating mass， and relieving pain. Astragali Radix-Curcumae Rhizoma， as the classic herb pair of invigorating Qi and activating blood， has a clear effect on inhibiting tumor growth and metastasis. Studies have shown that Astragali Radix-Curcumae Rhizoma contains astragalus polysaccharide， astragaloside， calycosin， formononetin， curcumin， β-elemene， curcumenol， curcumenone， curcumendione， gemacrone， and other anti-tumor active ingredients. It can significantly inhibit the occurrence and development of liver cancer， colorectal cancer， gastric cancer， lung cancer， ovarian cancer， cervical cancer， breast cancer， and other cancers and has the advantages of superposition effect， synergistic complementarity， and increased dissolution compared with single herb and monomer of Chinese traditional herbs and has been widely valued in the field of TCM anti-cancer. Its anti-tumor mechanism includes inhibition of tumor cell proliferation， promotion of tumor cell apoptosis and autophagy， anti-invasion and metastasis， regulation of immune function， and enhancement of anti-tumor drug sensitivity. By combining Chinese and foreign literature， the compatibility effect and anti-tumor mechanism of Astragali Radix-Curcumae Rhizoma were summarized， and then scientific compatibility of these two herbs was expounded， in order to provide a useful reference for clinical application and future research of Astragali Radix-Curcumae Rhizoma.

AIM: To review and summarize the current research and achievements in the field of diabetic cataract, with the aim of better identifying research hotspots and trends in this area.METHODS: Based on the relevant literature retrieved from the China National Knowledge Infrastructure, Web of Science databases, and Pubmed, a bibliometric analysis of the diabetic cataract was conducted by means of Microsoft Office Excel 2017 and CiteSpace 6.3R2. Research hotspots were subsequently synthesized after visualizations of author/country collaborations, co-citation networks of highly cited literature, keyword clustering, and emergence.RESULTS: A total of 815 Chinese and 572 English publications were finally included. Overall, this field had maintained substantial scholarly attention globally, though publications had progressively decreased since 2018. While inter-institutional collaboration in this area remained limited, a multinational collaborative network had emerged with the People's Republic of China, the United States of America, the United Kingdom, and the Kingdom of Spain as central hubs. Core research priorities in diabetic cataract consistently encompassed surgical and pharmacological interventions, pathogenesis, associated ocular/systemic complications; while international and domestic research contents aligned fundamentally in these domains, but the domestic research was unique in nursing interventions and herbal medicine-based interventions. Recent analytical trends revealed that Chinese investigations prioritized the pathogenic mechanisms of diabetic cataract, whereas international efforts concentrated on clinical therapeutics.CONCLUSION: This bibliometric analysis of diabetic cataract research literature(2000-2024)synthesizes the current advancements, research priorities, and scholarly contributions in the field, and intuitively demonstrates significant academic merit and clinical relevance, which can provide evidence-based guidance for the future research trajectories.

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.

Necroptosis, a form of programmed cell death, initiates a series of biological responses and further culminates in necroinflammatory processes, consequently limiting the efficacy of cytokine antagonists in treating inflammatory diseases. To address this issue, DNAzyme R3-Dz specifically targeting receptor-interacting protein kinase 3 (RIP3) mRNA, a necrosome component, has been successfully developed and studied to elucidate the mechanism in cleaving its target mRNA. Then a polyamidoamine (PAMAM) derivative was constructed through the modification of nucleobase analog (termed AP) to achieve the R3-Dz delivery to macrophages. The AP/R3-Dz nanoparticles effectively downregulated the RIP3 expression, leading to subsequent decrease in the levels of reactive oxygen species (ROS) and damage-associated molecular patterns (DAMPs), ultimately inhibiting the necroinflammatory processes mediated by the NOD-like receptor family pyrin domain-containing 3 (NLRP3). Finally, AP/R3-Dz nanoparticles and their combination with the NLRP3 inhibitor MCC950 suppressed the necrotic phenotype and ameliorated the disease progression in diverse models, including gouty arthritis, autoimmune hepatitis and rheumatoid arthritis. In summary, the AP/R3-Dz nanoparticles in combination with MCC950 have been demonstrated to achieve the intervention in necroptosis and inflammation by dual disruption of the intricate feedback loop of necroinflammation and thus have promising potential in the treatment of inflammatory diseases.