Esophageal cancer is a common malignancy with high incidence and poor prognosis. Conventional therapies fail to provide long-term benefits for patients, with postoperative recurrence and metastasis being the primary reasons for treatment failure. With the continuous development of nanomedicine, nanoparticle-based drug delivery has received widespread attention as a novel therapeutic approach. Among them, Fe3O4 magnetic nanoparticles have achieved a series of encouraging advancements in the treatment of esophageal cancer, owing to their unique superparamagnetism and biocompatibility. This paper provides a review of the relevant research on Fe3O4 magnetic nanoparticle-based drug delivery systems for the treatment of esophageal cancer.

Objective:To evaluate the Caprini risk assessment model (Caprini RAM) for predicting lower extremity deep vein thrombosis (DVT) after a spinal cord injury (SCI).Methods:Five hundred and one SCI patients were divided into low- (0-1 points, n=130), medium- (2 points, n=43), and high-risk (≥3 points, n=328) groups according to their Caprini scores. The data covering all 501 included gender, age, cause of injury, injury site, American Spinal Injury Association classification, smoking history, surgical history, concurrent pulmonary or urinary tract infections, indwelling catheterization, comorbid type 2 diabetes or hypertension, D-dimer level, fibrinogen level, prothrombin time (PT), activated partial thromboplastin time, international normalized ratio), red blood cell (RBC) count, white blood cell count, platelet (PLT) count and neutrophil percentage. DVTs were detected using lower extremity ultrasound. The Caprini scores were treated as both categorical and continuous variables alongside the other risk factors in multivariate logistic regressions predicting DVT incidence. Generalized additive models were used for curve fitting and threshold saturation analysis, and log-likelihood ratio tests were applied to evaluate the linear relationships observed between Caprini scores and DVT incidence. Results:When the Caprini score was used as a categorical variable, a high risk score ( OR=7.264), age ( OR=1.050), D-dimer ( OR=1.11) , PT ( OR=1.494), PLT count ( OR=1.004) and lung infection ( OR=1.83) were found to be significant independent predictors of DVT. RBC was a protective factor ( OR=0.509). When the Caprini score was used as a continuous variable, lung infection lost its predictive utility. After adjusting for the risk and protective factors, the Caprini scores and the incidence of DVT showed a significant curvilinear increasing association, with a breakpoint of 3. When the Caprini score was less than 3, the incidence of DVT increased 1.83 times with a 1 point increase in the Caprini score. Beyond 3 the multiplier was 1.06. Conclusions:With the independent risk factors accounted for, Caprini scores demonstrate a curvilinear increasing relationship with DVT risk. Clinically, special attention should be given to SCI patients with Caprini scores ≥3.

Objective To observe the value of whole-brain CT perfusion(CTP)parameters at different time and clinical data for predicting delayed cerebral ischemia(DCI)and 3-month poor prognosis in patients with aneurysmal subarachnoid hemorrhage(aSAH).Methods Totally 127 aSAH patients were retrospectively enrolled.Clinical and CTP data within 24 h of symptom onset and during DCI time window(DCITW)were collected.The patients were divided into DCI group(n=34)and non-DCI group(n=93)based on DCI occurred or not during hospitalization,also into poor outcome group(modified Rankin scale[mRS]≥3,n=36)and good outcome group(mRS≤2)based on 3-month's follow-up.Multivariate logistic regression was performed to select independent predictive factors among variates being significantly different between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive performance of logistic regression model.Results Patients'age,modified Fisher score(mFS),subarachnoid hemorrhage early brain edema score(SEBES)and mean flow extraction product(mFEP)within 24 h of onset were all identified as independent predictive factors of DCI,and the AUC of their combination for predicting DCI during hospitalization was 0.817.Patients' age and mFS within 24 h of onset,alternatively,World Federation of Neurosurgical Societies(WFNS)grade and mFEP during DCITW were all independent predictive predictors of 3 months' prognosis,and the combination of the latter two showed better predictive performance(AUC=0.922)tahn the former two(AUC=0.822,P＜0.05).Conclusion Whole-brain CTP parameters combined with clinical data within 24 h of onset of aSAH could be used to predict the occurrence of DCI during hospitalization,whole-brain CTP parameters during DCITW could be used to predict 3 months'poor prognosis.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective To investigate the biological function of the proprotein convertase subtilisin/kexin type 9(PCSK9)in prostate cancer(PCa)and its effect on ferroptosis sensitivity Methods Bioinformatics was used to analyze the relationship between the expression of PCSK9 and the prognosis of prostate cancer.The expression of PCSK9 in PCa cell lines were detected using RT-qPCR.PCa cells with PCSK9 knockdown were constructed using siRNA,and the The effect of PCSK9 on cell proliferation,migration,and invasion were detected using CCK-8 assays and Transwell assays.The Cancer Therapeutics Response Portal(CTRP)was employed to investigate the correlation between PCSK9 and ferroptosis drug sensitivity,and PCa cells with PCSK9 knockdown were treated with the ferroptosis inducer(RSL3)to detect the sensitivity to ferroptosis.Results Bioinformatics showed low expression of PCSK9 had longer disease specific survival(P<0.05).The results of the in vitro experiments showed that PCSK9 knockdown significantly inhibited the proliferation,migration,and invasion of PCa cells(P<0.001).Furthermore,CTRP analysis showed that cellular sensitivity to ferroptosis inducers correlated with the expression level of PCSK9.PCSK9 knockdown cells exhibited higher sensitivity to the ferroptosis inducer RSL3.Conclusion Knockdown of PCSK9 inhibits the proliferation,migration,and invasion of PCa cells,and increases the sensitivity of cells to ferroptosis inducers.PCSK9 may provide new insights for the treatment of PCa.

The immune microenvironment plays a pivotal role in maintaining ovarian homeostasis. Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder, is closely associated with immune microenvironment imbalance. This review systematically describes the dysregulation of innate immune cells (e.g., macrophages, natural killer cells and dendritic cells) and adaptive immune cells (e.g., Th1, Th2, Treg and Th17) in PCOS, highlighting their impacts on ovarian function, insulin resistance, and hyperandrogenemia. These findings underscore the central role of immune microenvironment disturbances in PCOS pathogenesis. Additionally, the association between gut microbiota dysbiosis and PCOS is explored, emphasizing how gut microbiota influences metabolic byproducts and hormonal levels to contribute to PCOS development. Furthermore, therapeutic strategies targeting immune microenvironment imbalance such as modulating macrophage polarization, restoring Th1/Th2 and Th17/Treg balance, and ameliorating gut microbiota dysbiosis are discussed, offering novel insights for PCOS immunotherapy. In conclusion, this review comprehensively analyzes the pathogenesis of PCOS from the perspective of the immune microenvironment, aiming to provide a theoretical foundation and reference for future research and clinical practice.

Purpose To investigate the value of two-dimensional speckle tracking in evaluating right ventricular function in cardiac amyloidosis(CA).Materials and Methods A total of 25 patients with CA,30 patients with hypertrophic cardiomyopathy(HCM)and 30 healthy controls were retrospectively selected from July 2021 to October 2023 in Wuhan Asia Heart Hospital.The regional difference was represented by the formula apical ratio.The parameters of conventional echocardiography,two-dimensional strain and apical ratio of the three groups were analyzed and compared.Results Only segmental strain was different in right ventricular structure and function between CA group and HCM group,and the differences were statistically significant(all P<0.05).In the CA group,the strain gradient of the right ventricle from the apex of the heart to the base was the same as that of the left ventricle,that was,the"apex preservation"pattern,which was not seen in the HCM group and the control group.Comparison of the right ventricular free wall longitudinal strain-apical ratio,right ventricle four-chamber longitudinal strain-apical ratio,left ventride global longitudinal strain-apical ratio among the three groups,it was found that the levels of CA group were higher than HCM group and control group,and the differences were statistically significant(H=40.40,43.18,55.43,all P<0.05).The right ventricular free wall longitudinal strain-apical ratio had the highest CA recognition value,the area under the curve was 0.935,sensitivity was 96%and specificity was 83%.Conclusion Two-dimensional speckle tracking can accurately evaluate the right ventricular function impairment in CA patients and provide a new choice for clinical evaluation and identification of CA patients.

Objective:To summarize the best available evidence for exercise interventions in patients with systemic lupus erythematosus (SLE) .Methods:The PIPOST model from the Joanna Briggs Institute (JBI) Centre for Evidence-Based Healthcare in Australia was used to construct the evidence-based nursing question. A top-down approach based on the "6S" evidence pyramid model was employed to search for relevant evidence, including clinical guidelines, consensus statements, systematic reviews, best practices, and evidence summaries. The search was conducted across BMJ Best Practice, UpToDate, guideline repositories, professional association websites, and Chinese and international databases. Eligible literature was screened for quality assessment, and high-quality evidence was extracted. The search timeframe covered publications from database inception to June 15, 2024.Results:A total of 15 studies were included, comprising 1 clinical decision-making article, 3 guidelines, 6 systematic reviews, and 5 randomized controlled trials. A total of 25 evidence statements were synthesized across 6 key aspects: exercise principles, exercise assessment, exercise modalities, exercise intensity, exercise frequency and duration, and exercise monitoring.Conclusions:The best evidence summarized in this study provides a valuable reference for clinical healthcare professionals implementing exercise interventions for patients with systemic lupus erythematosus.

Objective To investigate the value of adjusting antiplatelet treatment regimens guided by thromboelastography(TEG)in predicting cerebral ischemic events after stent-assisted embolization of intracranial aneurysms.Methods This study retrospectively and consecutively enrolled patients with intracranial aneurysms who underwent stent-assisted coil embolization admitted to the Department of Neurosurgery of the General Hospital of Eastern Theater Command,from March 2022 to May 2024.Baseline and clinical data of the patients,including gender,age,hypertension,diabetes,dyslipidemia,smoking history,drinking history,and intraoperative use of tirofiban were collected.Antiplatelet therapy(conventional dose aspirin[100 mg once daily]+clopidogrel[75 mg once daily])was initiated immediately after the diagnosis of intracranial aneurysm,and TEG was performed 3 days later.According to the platelet inhibition rate in TEG parameters(platelet inhibition rate induced by arachidonic acid[AA]pathway[AA inhibition rate]or adenosine diphosphate[ADP]pathway[ADP inhibition rate],AA inhibition rate ≥ 50％indicated aspirin effectiveness,AA inhibition rate＜50％indicated aspirin resistance;ADP inhibition rate ≥ 30％indicated clopidogrel effectiveness,ADP inhibition rate＜30％indicated clopidogrel resistance),the patients were divided into the control group(TEG test results met the criteria,i.e.,AA inhibition rate ≥ 50％and ADP inhibition rate ≥ 30％),the conventional dual antiplatelet therapy group(TEG test results did not meet the criteria but were not adjusted for antiplatelet therapy,i.e.,AA inhibition rate＜50％and/or ADP inhibition rate＜30％,but with complex aneurysm morphology[such as irregular shape,daughter sac formation]or high bleeding risk,continuing conventional dual antiplatelet therapy),and the intensified group(TEG test results did not meet the criteria and the antiplatelet therapy regimen was adjusted,i.e.,AA inhibition rate＜50％and/or ADP inhibition rate＜30％,adjusting the antiplatelet therapy regimen).All patients underwent stent-assisted coil embolization after TEG testing.From 0 to 3 months after the operation,all three groups maintained the above antiplatelet therapy.At 3 months after the operation,routine head MRI,CT and other examinations were performed.If no cerebral ischemic events occurred and the imaging results were satisfactory(good stent position,no aneurysm occlusion residual or slight residual at the neck[neck width of the aneurysm 2mm]),the treatment could be adjusted to single antiplatelet therapy(aspirin 100 mg once daily).If a patient experienced a cerebral ischemic event during the follow-up period,regardless of the stage after the operation,dual antiplatelet therapy(aspirin[100mg once daily]+clopidogrel[75 mg once daily])was immediately restarted or maintained and continued for at least 6 months.The primary endpoint was intraoperative and 6-months postoperative cerebral ischemic events(including DSA-confirmed intraoperative acute thrombosis and infarction foci confirmed by head CT or MRI).Baseline and clinical data of the three groups were compared.All patients were divided into groups with ischemic stroke event and without according to the primary endpoint,univariate Logistic regression analysis was then performed on both groups.Variables with P＜0.1 in the univariate Logistic regression analysis were included in the multivariate Logistic regression analysis to explore the influencing factors of cerebral ischemic events after stent-assisted coil embolization for intracranial aneurysms.Results A total of 499 patients were included,including 178 males and 321 females,with a median age of 59(53,68)years.Among them,there were 341 patients in the control group,42 in the conventional dual antiplatelet therapy group,and 116 in the intensified group.There were 47 cases of cerebral ischemic events and 452 cases without cerebral ischemic events.There was a statistically significant difference in the intraoperative use rate of tirofiban across the control group,the conventional dual antiplatelet therapy group,and the intensified group(20.2％[69/341]vs.26.2％[11/42]vs.42.2％[49/116],P＜0.01);no statistically significant differences were observed among the three groups in terms of age,gender composition,the proportion of patients with hypertension,diabetes,dyslipidemia,smoking history,drinking history,and the incidence of cerebral ischemic events(all P＞0.05).The results of multivariate Logistic regression analysis showed that hypertension(OR,2.924,95％CI 1.416-6.037,P=0.004)and intraoperative use of tirofiban(OR,3.638,95％CI 1.892-6.996,P＜0.01)were independent risk factors for intraoperative and 6-months postoperative cerebral ischemic events after stent-assisted coil embolization in patients with intracranial aneurysms.In comparison with the control group,the intensified group has reduced the risk of cerebral ischemic events(OR,0.238,95％CI 0.088-0.646,P=0.005),while there was no statistically significant difference between the conventional dual antiplatelet therapy group and the control group(OR,0.521,95％CI 0.149-1.826,P=0.308).Conclusions This study demonstrates that adjusting the antiplatelet therapy regimens in patients with intracranial aneurysms who did not meet the platelet inhibition rate based on TEG results can significantly reduce the risk of intraoperative and 6-months postoperative cerebral ischemic events.These finding may require validation through further,large-scaled,prospective studies.

Objective:To investigate the technical application pathways of artificial intelligence(AI)in laboratory information management systems(LIMS)and its role in promoting laboratory management efficiency and intelli-gence.Methods:Through the integration of traditional AI technologies(e.g.,machine learning,computer vision)with large language models,this study demonstrated the application of various AI technologies in scenarios such as intelligent Q&A for local knowledge bases,comprehensive review of inspection processes,intelligent data visualization,and image recognition.Results:Through the implementation of AI applications in laboratory settings,AI significantly enhanced management efficiency:the intelligent Q&A system achieved over 90％accuracy,auto-mated inspection processes reduced manual workload by 40％,and image recognition precision reached 89％-100％.Conclusion:AI provides efficient and precise solutions for laboratory management via multimodal integration and process optimization.Future efforts should focus on strengthening data security and model interpret-ability to promote comprehensive intelligent development.