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.

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.

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.

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.

Osteoblasts are the main functional cells of bone formation,and their adhesion to the implants is the premise of biological function.However,most of the common clinical implants are inert metals,which have some problems such as poor biological activity and lack of bone induction,which are not conducive to osteoblast adhesion,so it is often necessary to modify their surface.Nano-morphology is a hot topic in recent years,which refers to the topological structure of implant surface unit and size 1-100 nm,similar to extracellular matrix in structure,with many advantages such as enhanced hydrophilicity,superior biocompatibility and antibacterial properties.However,not all nano-morphologies are conducive to osteoblast adhesion.This paper reviews the adhesion process,common nano-surface structure and surface modification of osteoblasts on nano-surface,in order to provide reference for implant surface nano-modification and clinical application.

Objective:To explore the spousal correlations of total cholesterol(TC),total triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),and high-density lipoprotein cholesterol(HDL-C),and to investigate the reasons behind these spousal correlations.Methods:Participants and data were from the baseline survey of family-based cohort studies in Fangshan,Beijing and Tulou,Fujian.The ori-gin of spousal correlations were explored from perspectives of convergence,assortative mating,social ho-mogamy.Pearson's correlation and generalized linear models(GLM)were used to estimate the spousal correlation.Convergence was assessed by Pearson's correlation between the phenotypic differences be-tween couples and the duration of marriage,with GLM used for further validation.Pearson's correlation of genetic risk scores(GRS)and couple-specific Mendelian randomization(MR)were calculated to assess the genetic correlation and possible causal relationships between spouses.Two-independent-sample t-tests were used to compare GRS consistency across subgroups divided by education attainment,couple-specific MR and Q statistics used to test assortative mating in subgroups and intergroup differences.Results:In the study,342 couples(287 couples from Fangshan and 55 couples from Fujian)were included,with the average age of(64.91±8.76)years.Spousal correlations of TC,TG,HDL-C,and LDL-C showed statistically significant associations both before and after adjusting for covariates,with effect sizes of 0.229(95％CI:0.125-0.327),0.257(95％CI:0.155-0.354),0.179(95％CI:0.074-0.280),and 0.181(95％CI:0.076-0.282).For convergence,for each additional year of marriage,ΔTC increased by 0.016 mmol/L(95％CI:0.001-0.033 mmol/L),and ΔLDL-C increased by 0.017 mmol/L(95％CI:0.002-0.031 mmol/L).For assortative mating,GRS correlations and results of couple specific MR didn't show any statistical significance.For social homogamy,no differences in GRS or assortative mating were found between subgroups stratified by education attainment.Conclusion:The blood lipid in participants exhibit spousal phenotypic correlations,however,no effects of convergence,assortative mating or social homogamy were observed.More independent studies with larger sample sizes are warranted to further validate these findings in the future.

BACKGROUND:Monounsaturated fatty acids are mostly recognized as a fatty acid with beneficial effects on human health,and some studies have suggested that they may contribute to non-inflammatory pain at multiple sites in the body.OBJECTIVE:To investigate the effect of monounsaturated fatty acids on the incidence of low back pain and all-cause mortality,thereby providing potential biomarkers and intervention strategies for low back pain management and prevention.METHODS:A Mendelian randomization method was used to analyze the potential association of monounsaturated fatty acids on the incidence of low back pain and all-cause mortality in conjunction with large sample data from the National Health and Nutrition Examination Survey(NHANES)database.Results were validated and sensitivity analyzed using multiple statistical models(e.g.,inverse variance weighting,MR-Egger regression,simple median,weighted median,and weighted median)to enhance the reliability of causal inferences.In the NHANES study,multivariate Cox proportional risk regression models were used to assess the independent predictive values of different fatty acid ratios and to control for confounders.Potential nonlinear relationships between monounsaturated fatty acids and all-cause mortality were assessed using Kaplan-Meier curves,log-rank tests,and restricted cubic spline curves.RESULTS AND CONCLUSION:Elevated monounsaturated fatty acids have been found to be associated with a significantly higher risk of low back pain,suggesting an unfavorable effect of this fatty acid.Also,monounsaturated fatty acids may increase all-cause mortality in patients with low back pain.This provides new insights into the potential effects of monounsaturated fatty acids on low back pain and all-cause mortality,and provides a scientific basis for nutritional interventions for low back pain.The results support the use of dietary modification as one of the strategies for the prevention and management of low back pain in the European population,but further studies are needed to explore the specific biological mechanisms and potential for clinical application,thereby improving guidance for the prevention and treatment of diseases 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.