Objective To investigate the causal relationship between immune cells and various molecular subtypes of breast cancer (BC) by using two-sample Mendelian randomization (MR). Methods This study employed a two-sample MR analysis, with 731 immune cell types from the GWAS catalog as the exposure factors and four BC molecular subtypes (HR+/HER2−, HR+/HER2+, HR−/HER2+, and HR−/HER2−) from the BCAC Consortium as the outcome variables. For causal inference, inverse variance weighting (IVW) was employed as the primary analytical method, alongside multiple consistency validation approaches, including MR-Egger, weighted median, weighted mode, simple mode, and Bayesian weighted Mendelian randomization. Reverse MR and sensitivity analyses were employed to effectively evaluate and exclude potential biases and interference from reverse causality. Results Significant causal associations were identified for specific immune cell phenotypes across subtypes. In HR+ BC, the HER2+ subtype was associated with seven immunophenotypes (five protective and two risk increasing), whereas the HER2− subtype was associated with eight immunophenotypes (four protective and four risk increasing). In HR− BC, the HER2+ subtype was associated with five immunophenotypes (one protective and four risk increasing), and the HER2− subtype (triple-negative BC) was associated with seven immunophenotypes (six protective and one risk-increasing). CD28+CD45RA−CD8+ T cells and naive CD8+ T cells have a bidirectional causal relationship with HR+/HER2+ breast cancer, Whereas the expression of CD8 on CD39+CD8+ cells also has a bidirectional relationship with HR+/HER2− breast cancer. Furthermore, CD4−CD8− NKT cells exhibited opposing effect directions in HER2+ versus HER2− subtypes. Conclusion From a genetic perspective, this study confirms the existence of subtype-specific causal associations between immune cell phenotypes and distinct molecular subtypes of BC, revealing heterogeneity in immune regulation.

In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.

The traditional detection methods for monitoring the biomass,protein,chlorophyll content and other key indicators in the growth of chlorella have some problems,including complicated operation,slow detection speed and difficult large-scale application.In this study,a fast and efficient monitoring method for the key indicators in the growth of chlorella was established using near infrared spectroscopy and chemometrics.Near-infrared spectroscopy was used to collect near-infrared spectra of chlorella algal fluid at different growth stages,and standard methods were used to detect the biomass,protein and chlorophyll contents of corresponding samples.A quantitative analysis model was established based on partial least squares regression(PLSR).To improve the prediction ability of the model,multiplicative scatter correction(MSC)was used to reduce the interference of scattering on the raw spectrum(RS),standard normal variate(SNV)was used to normalize the original spectral data to eliminate differences between samples,continuous wavelet transform(CWT)was used to obtain the key features of spectral data,the first derivative(1st)was used to enhance the differentiation of the original spectral features,and monte carlo-uninformative variable elimination(MC-UVE)and randomization test(RT)were used to screen the valid variables in the wavelength.By evaluating the prediction ability of different models,the quantitative analysis models of chlorella biomass,protein and chlorophyll content were finally determined.The results showed that the model based on 1st combined with RT spectra had better predictive ability for chlorella nutrient content detection,and the root mean square errors of prediction(RMSEP)and coefficients of determination(R2)were 0.041 and 0.933 for biomass,0.012 and 0.973 for protein,and 0.517 and 0.962 for chlorophyll,respectively.This model showed practical application value,and could realize the rapid and accurate detection of chlorella biomass,protein and chlorophyll content at the same time.

As a serine protease,thrombin can convert soluble fibrinogen into insoluble fibrin and plays a pivotal role in the coagulation cascade.Therefore,the accurate quantitative assay of thrombin levels is of great value in the evaluation of coagulation function,clinical screening and prognostic monitoring of coagulation-related diseases,and screening of drugs for targeted therapy.Existing methods for thrombin detection can be divided into two categories,e.g.,the assay of concentration levels using nucleic acid aptamers as the affinity elements and the assay of activity levels based on the hydrolytic cleavage of substrate peptides.In recent years,electrochemical biosensors have attracted much attention in thrombin detection due to high sensitivity,high selectivity,simple instrument,fast response,and good portability.In this review,the latest research progress in methods for electrochemical detection of thrombin was summarized,focusing on the detection principles and the applied signal amplification strategies of related electrochemical biosensors.In addition,the challenges with respect to the practical use of electrochemical thrombin biosensors and the prospects were discussed.

Objective:To construct a framework for evaluating the quality of health economic evaluation methodology based on the pragmatic clinical trial.Methods:An evaluation framework was constructed based on existing quality evaluation tools for health economic evaluation other quality evaluation tools.The weights of each item in the framework were determined by the Delphi method,and the weighted average was calculated using the expert authority coefficient.Results:A total of 23 experts were consulted,and the expert authority coefficients were 0.88 and 0.90,respectively.The results of the Wilcoxon signed-rank test showed no statistically signifi-cant differences among the expert opinions in two rounds(P＞0.05).Finally,a framework with 3 dimensions and 8 items was estab-lished.Conclusion:The evaluation framework has high scientificity and reliability.

Objective To analyze the risk factors and effective predictive indicators for postpartum hemor-rhage(PPH)in pregnant women with severe pre-eclampsia(sPE)in singleton pregnancies.The findings will serve as a valuable reference for the clinical prevention and management of PPH in these patients.Methods A retrospective analysis was conducted on 932 pregnant women with sPE at two tertiary hospitals in Guangzhou from January 1,2016,to December 31,2022.Among these,95 cases were complicated by PPH.A comparative analysis was performed between the sPE group and the sPE with PPH group.Results(1)The incidence of assisted reproductive technology,intrapartum blood loss,placental abruption,elevated D-dimer levels,increased monocyte counts,and higher SIRI levels were significantly higher in the PPH group,whereas platelet counts were significantly lower(P<0.05).(2)The results indicated that intrapartum blood loss,D-dimer levels,and platelet counts were inde-pendently associated with PPH in pregnant women with sPE.(3)The area under the curve(AUC)for intrapartum blood loss,D-dimer,and platelet counts were 0.805,0.717,and 0.571,respectively.The optimal cutoff value for D-dimer was determined to be 2.295 μg/mL.The combined AUC for intrapartum blood loss and D-dimer was 0.859.(4)Intrapartum blood loss values were significantly higher in the PPH group for both vaginal delivery and cesarean section(P<0.001).The corresponding optimal cutoff values were 285 mL and 375 mL,respectively.Conclusions Intrapartum haemorrhage,D-dimer levels,and platelet count were identified as independent risk factors for PPH in pregnant women with sPE.Specifically,pregnant women with sPE who experienced blood loss exceeding 285 mL during vaginal delivery or 375 mL during caesarean section,along with a D-dimer level greater than 2.295 μg/mL,demonstrated an increased likelihood of developing PPH.Therefore,it is crucial to enhance clinical monitoring of these relevant indicators in high-risk populations.

Sleep is essential for organisms.Sleep disorders,such as insomnia,sleep fragmenta-tion,and sleep deprivation,deeply impact the physical activity and mental health of humans.The signifi-cant role of sleep in brain function has been well accepted in recent years.This article aims to summarize the research related to sleep disorders,sleep-wake control,the relationships between sleep and atten-tion,and the potential underlying mechanisms.Current interventions are also outlined in the hope of providing insights into sleep and cognitive function.

Objective To analyze the risk factors and effective predictive indicators for postpartum hemor-rhage(PPH)in pregnant women with severe pre-eclampsia(sPE)in singleton pregnancies.The findings will serve as a valuable reference for the clinical prevention and management of PPH in these patients.Methods A retrospective analysis was conducted on 932 pregnant women with sPE at two tertiary hospitals in Guangzhou from January 1,2016,to December 31,2022.Among these,95 cases were complicated by PPH.A comparative analysis was performed between the sPE group and the sPE with PPH group.Results(1)The incidence of assisted reproductive technology,intrapartum blood loss,placental abruption,elevated D-dimer levels,increased monocyte counts,and higher SIRI levels were significantly higher in the PPH group,whereas platelet counts were significantly lower(P<0.05).(2)The results indicated that intrapartum blood loss,D-dimer levels,and platelet counts were inde-pendently associated with PPH in pregnant women with sPE.(3)The area under the curve(AUC)for intrapartum blood loss,D-dimer,and platelet counts were 0.805,0.717,and 0.571,respectively.The optimal cutoff value for D-dimer was determined to be 2.295 μg/mL.The combined AUC for intrapartum blood loss and D-dimer was 0.859.(4)Intrapartum blood loss values were significantly higher in the PPH group for both vaginal delivery and cesarean section(P<0.001).The corresponding optimal cutoff values were 285 mL and 375 mL,respectively.Conclusions Intrapartum haemorrhage,D-dimer levels,and platelet count were identified as independent risk factors for PPH in pregnant women with sPE.Specifically,pregnant women with sPE who experienced blood loss exceeding 285 mL during vaginal delivery or 375 mL during caesarean section,along with a D-dimer level greater than 2.295 μg/mL,demonstrated an increased likelihood of developing PPH.Therefore,it is crucial to enhance clinical monitoring of these relevant indicators in high-risk populations.

Objective:To analyze the factors associated with non-radiographic bone erosion in gout pa-tients,to improve the understanding of bone erosion in gout,and to promote the early detection of bone erosion.Methods:A retrospective analysis was conducted on the medical records of gout patients treated at Beijing Jishuitan Hospital from January 2018 to January 2022.Bone erosion was detectable by ultra-sound but not detected by X-ray as non-radiographic bone erosion;no bone erosion was detected by both ultrasound and joint X-ray as undetected bone erosion.A case-control study was used,and the two groups were matched 1∶2 according to age and sex.The differences between the two groups were com-pared in terms of general information,joint involvement characteristics,laboratory indicators and compli-cations.In the univariate analysis,P＜0.1 was included in the multivariate analysis,and the conditional Logistic regression was used for the multivariate analysis.P＜0.05 was considered to have statistically significant differences.Results:Among the 41 patients with non-radiographic bone erosion,the top three joints with bone erosion before its occurrence were metatarsophalangeal joint(12 cases),ankle(10 ca-ses),and knee(7 cases).There were 82 patients undetected with bone erosion.There were no signifi-cant differences in general information between the two groups(P＞0.05),including age,gender,body mass index,and alcohol consumption history.The characteristics of affected joints in the non-radio-graphic bone erosion group were compared with those in the no bone erosion detected,and the former had more affected joints(P=0.02),and a higher proportion of patients with at least 3 attacks of gout per year(P＜0.001).There were no significant differences in serum uric acid,fasting blood glucose,cholesterol,triglycerides,low-density lipoprotein,high-density lipoprotein,creatinine,homocysteine,white blood cell count,and urine pH between the two groups(P＞0.05).The results of multivariate analysis showed that at least 3 flares of gout per year was an independent risk factor for radiologically negative bone erosion in patients with gout,with an OR(95％CI)of 5.139(1.529-17.271).Conclusion:At least 3 flares of gout per year predicts the occurrence of radiologically negative bone erosion,and these patients should be given more attention to achieving treatment targets.

Objective To develop a novel type of transparent simulation manikin as a surgical training model to meet the surgical treatment demand on the medical train.Methods A transparent manikin was developed with the steps of basic data collection,motherboard design and manufacture and module production and assembly.Firstly,basic data collection was carried out with reference to standardized human anatomy and parameters.Secondly,some software such as UG NX7.5 was used to construct the motherboard of the manikin.Finally,module production and assembly were performed with the materials of acrylic,transparent rubber,silicone and hydrogel and the technology of silicone infusion.Results The transparent manikin developed had its anatomy structure close to that of the real body and high visuality for its internal and external components,which simulated a variety of war wounds and thus could be integrated with the surgical training scenarios on the medical train effectively.Conclusion The transparent manikin developed is characterized by high visuality,modularity and blood flow,and meets the demands for surgical training on the medical train.[Chinese Medical Equipment Journal,2025,46(6):111-115]