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 assess the current status of bacterial detection capabilities in various blood collection and supply and related laboratories across China, and to identify key factors affecting the consistency of test results. Methods: A pooled analysis was conducted on data from 21 external quality assessment (EQA) rounds for blood bacterial detection carried out by the China International Transfusion Infection Prevention and Control (CITIC) project from 2019 to 2025. The study covered three types of laboratories-blood centers, central blood stations, and commercial laboratories—across 23 provincial-level administrative regions in China. Statistics were compiled on the number of participating laboratories, and the concordance rates were calculated for different institution types, different automated blood culture systems, different bacterial concentrations, and different strains. Non-standard reporting issues were also reviewed, and statistical methods were applied for analysis. Results: Over the seven-year period, the number of participating laboratories increased from 161 to 236, with an average annual growth rate of 6.58%, and the annual concordance rates ranged from 82.61% to 94.92%. The overall laboratory concordance rates for the three types of participating laboratories were all>89.0% (P>0.05), while commercial laboratories showed a significant year-by-year increase (70.97%-100%, P<0.05). The concordance rates of automated blood culture systems from eight manufacturers showed no significant differences (97.98%-100%, P>0.05), indicating stable performance across all devices. The overall sample concordance rate was 98.88%, with negative samples showing a lower rate than positive samples (97.97% vs 99.14%); positive sample rates increased with higher concentrations; and low-concentration Gram-negative bacterial samples had a lower concordance rate than Gram-positive ones (93.15% vs 100%). A total of 50 instances of non-standard result reporting were identified, with incorrect time units accounting for the highest proportion (52.0%). Conclusion The participation scale and overall testing proficiency of blood collection and supply and related laboratories nationwide have improved year by year, and all types of automated blood culture devices can meet the requirements for blood bacterial screening. Detection of negative and low-concentration positive samples remains a weak link in current bacterial EQA, and the standardization of laboratory data reporting requires further strengthening. Continuous: external quality assessment, targeted training, and standardized reporting procedures can effectively enhance the homogenization level of blood bacterial testing across the country and ensure the safety of clinical transfusion.

Objective To explore and verify the prognostic value of endothelial cells in glioblastoma. Methods Through bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. Results A total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. Conclusion The glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients.

Biological clock is a pattern of rhythms in which organisms exhibit cycles approaching 24 h in order to adapt to periodic changes in the external environment.Gut microbiota is the sum of extremely large number of microorganisms parasitized in humans and animals.Disorders of the biological clock increase the risk of metabolic diseases,and the occurrence of these disorders is closely related to the interaction with the dysbiosis of the gut microbiota.With the deepening of the understanding of the brain-gut axis,targeting gut microbiota to ameliorate biological clock disorders and associated diseases has achieved major theoretical breakthroughs and was partially applied in clinical practice,including dietary interventions such as time restricted feeding,development of microbial-related products(probiotics and postbiotics),and fecal microbiota transplantation.This article reviews the research progress of intestinal flora and rhythmicity,as well as targeting intestinal flora for the treatment of biological clock disorders,so as to provide new ideas for the prevention and treatment of rhythm disorders and concurrent diseases.

In recent years,there has been an increase in the prevalence and incidence of acute myocardial infarction.Despite advances in diagnostic and therapeutic technologies related to the disease,challenges remain in the management of the disease after patients are discharged from the hospital.Home-based cardiac rehabilitation has been demonstrated to be an effective means of improving the prognosis of the disease.The utilization of digital health technology has the potential to enhance patient compliance and quality of life in the context of home-based cardiac rehabilitation for those who have experienced an acute myocardial infarction.This article reviews the forms of intervention,specific applications and effects of digital health technologies in home-based cardiac rehabilitation,It analyses the existing problems and puts forward nursing countermeasures.The aim is to further help nursing staff to guide the practice of home cardiac rehabilitation for patients with acute myocardial infarction.

Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.

In recent years,there has been an increase in the prevalence and incidence of acute myocardial infarction.Despite advances in diagnostic and therapeutic technologies related to the disease,challenges remain in the management of the disease after patients are discharged from the hospital.Home-based cardiac rehabilitation has been demonstrated to be an effective means of improving the prognosis of the disease.The utilization of digital health technology has the potential to enhance patient compliance and quality of life in the context of home-based cardiac rehabilitation for those who have experienced an acute myocardial infarction.This article reviews the forms of intervention,specific applications and effects of digital health technologies in home-based cardiac rehabilitation,It analyses the existing problems and puts forward nursing countermeasures.The aim is to further help nursing staff to guide the practice of home cardiac rehabilitation for patients with acute myocardial infarction.

With the advent of the genomic era, genomics has gradually become a part of nursing. The use of genomic data can explore the mechanisms of disease occurrence and progression, accurately identify intervention targets and regulatory pathways of diseases, provide precise and personalized nursing services for patients, and improve their quality of life. This paper reviews the current application status of genomics in nursing, deeply analyzes the development process of genomics in genetic risk assessment, symptom precision nursing, precision nursing decision-making, and nursing education, and proposes corresponding development strategies. Through a comprehensive and in-depth exploration of the combination of genomics and nursing, the aim is to provide strong theoretical guidance for the future development of genomics nursing in China.

The disease burden of valvular heart disease (VHD) is increasing with the aging of our society. This paper introduces the disease characteristics of VHD, the current status and problems on postoperative cardiac rehabilitation in VHD patients, the difficulties and solutions in the development of postoperative cardiac rehabilitation programs for VHD patients, and proposes future research directions, with a view to providing a reference for carrying out postoperative cardiac rehabilitation in VHD patients.