Background Environmental metal exposure is closely associated with the onset and progression of mild cognitive impairment (MCI) in the elderly. Effectively identifying hazardous metal exposure and assessing their interaction effects have significant public health implications. Objective To explore the relationship between urinary single metal and metal mixture exposure and MCI in elderly compound residents. Methods This study included 391 elderly individuals aged 60 and above from residential compounds in Zhongshan City, Guangdong Province. Concentrations of iron (Fe), copper (Cu), selenium (Se), arsenic (As), cadmium (Cd), manganese (Mn), chromium (Cr), nickel (Ni), vanadium (V), cobalt (Co), antimony (Sb), thallium (Tl), zinc (Zn), calcium (Ca), and magnesium (Mg) in urine were measured using inductively coupled plasma mass spectrometry. Cognitive function in the elderly was assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Logistic regression was used to explore the relationship between single metal exposure level and MCI. LASSO regression and multi-metal logistic regression models were used to identify key metal ions associated with MCI. Bayesian kernel machine regression (BKMR) was employed to analyze the relationship between key metal ion mixtures and MCI, as well as the interactions between metals. Age, gender, education level, occupation, and body mass index were adjusted as covariates. Results A total of 78 among the 391 elderly individuals surveyed (19.94%) were diagnosed with MCI (MCI group), and the other 313 individuals were controls. The levels of Se, Cd, Mn, and As in the urine of the MCI group were significantly higher than those in the control group (P < 0.05). In the single-metal model, after adjusting for covariates and using the first quartile (Q₁) of each metal concentration as the reference, the OR for MCI in the elderly in the Q₄ group of Se was 2.190 (95%CI: 1.017, 4.716); for Cd, the OR was 2.345 (95%CI: 1.041, 5.283) in the Q₃ group and 2.371 (95%CI: 1.043, 5.393) in the Q₄ group; for Mn, the OR was 2.355 (95%CI: 1.038, 5.344) in the Q₂ group; for As, the OR was 3.377 (95%CI: 1.442, 7.908) in the Q₃ group and 2.886 (95%CI: 1.227, 6.788) in the Q₄ group; for Sb, the OR was 2.779 (95%CI: 1.234, 6.257) in the Q₂ group. When urinary metal concentrations were ln-transformed and included as continuous variables in the single-metal model, Cd concentration was positively correlated with MCI (OR=1.377; 95%CI: 1.008, 1.882; P=0.044). Cd, Se, Mg, Ca, Mn, As, Cr, Co, Tl, and Sb were selected by the LASSO regression model and included in the multi-metal model. In the multi-metal model, compared with Q₁, the OR for MCI in the elderly was 0.395 (95%CI: 0.164, 0.953) in the Q₂ group of Co and 0.390(95%CI: 0.167，0.911) in the Q₃ group of Co; for Mn, the OR in the Q₂ group was 2.636 (95%CI: 1.053, 6.596); for Sb, the OR in the Q₂ group was 2.640 (95%CI: 1.047, 6.658). As continuous variables, Mg (OR=0.472; 95%CI: 0.248, 0.899; P=0.022) and Co (OR=0.857; 95%CI: 0.737, 0.996; P=0.044) concentrations were negatively correlated with MCI. The BKMR mixture analysis suggested that Mg and Co exhibited a synergistic negative correlation with MCI, while Mn and Sb exhibited a synergistic positive correlation with MCI. Mg and Co attenuated the positive correlation of Mn and Sb with MCI, whereas Mn weakened the protective effects of Mg and Co. Conclusion Elevated levels of Se, Cd, As, Mn, and Sb in urine may increase the risk of MCI in the elderly, while Mg and Co have protective effects. Potential synergistic or antagonistic interactions may be found among Mn, Sb, Mg, and Co, which should not be overlooked in terms of their impact on the cognitive function of the elderly.

BackgroundDementia seriously affects the quality of life and lifespan of elderly people， with Alzheimer's disease （AD） being the most common type of dementia. Previous studies have suggested that gout may reduce the risk of developing AD， but the causal relationship between the two still requires further research. ObjectiveTo investigate the potential causal relationship between gout and AD through a two-sample Mendelian randomization （MR） analysis， so as to provide references for the prevention and treatment of AD. MethodsData from Genome-Wide Association Studies （GWAS） extracted in 2024 were analyzed， using pooled data on gout （6 810 cases in the case group and 477 788 cases in the control group） published by UK Biobank in 2021 as the exposure variable， and data on AD （3 899 cases in the case group and 214 893 cases in the control group） published by FinnGen in the same year as the outcome variable. The inverse-variance weighted， MR-Egger regression， weighted median estimation， simple model and weighted model were used to analyze the potential causal relationship between gout and AD. Pleiotropic effects were assessed using MR-Egger regression. Heterogeneity assessment was conducted using Cochran's Q test. The leave-one-out analysis was carried out for sensitivity analysis. And a funnel plot was drawn to detect potential publication bias. ResultsThe inverse-variance weighted analysis demonstrated a negative causal relationship between gout and AD （OR=0.004， 95% CI： 0~0.700， P<0.05）. The plot resembled a symmetrical inversed funnel， indicating the absence of publication bias. No heterogeneity was detected by Cochran's Q test. The MR-Egger regression indicated no significant horizontal pleiotropy. Concerning the reverse directions， no significant associations between AD and gout were noted. ConclusionThere is a negative causal relationship between gout and AD， with gout potentially reducing the risk of developing AD. ［Funded by The Third Batch of Social Welfare and Basic Research Projects （Medical and Health） of Zhongshan City in 2022 （number， 2022B3017）］

Primary hepatic cancer is one of the major problems that need to be solved urgently in the field of public health, seriously endangering the life and health of Chinese people. Its treatment mode is multidisciplinary participation and synergy of multiple therapeutic methods. Even though there are many common clinical treatments for liver cancer in China, its therapeutic outcome is still unsatisfactory. yttrium-90 has been applied for more than 20 years, and a large amount of foreign clinical data have been accumulated. Combining the latest literature and clinical practice, the authors describe the clinical application and research progress of yttrium-90 micro-sphere selective internal radiation therapy in primary liver cancer.

Objective: To investigate the influencing factors of depressive symptoms and to construct and verify the prediction model of depressive symptoms in middle school students, so as to provide risk assessment tools for effectively screening depressive symptom. Methods: Physical examination and questionnaire survey were conducted among middle school students in one city in Guangdong Province from September to October in 2021 ( n =2 376) and from September to October in 2022 ( n =4 344) by a multistage cluster sampling method, and a nomographic prediction model of depressive symptoms in middle school student was constructed. The questionnaire survey was conducted using the student health status and influencing factors questionnaire (secondary school version) and the Center for Epidemiological Studies Depression Scale (CES-D) to measure the lifestyle and depressive symptom of middle school students. Results: The detection rate of depressive symptoms in 2021 was 23.3%. Multivariate Logistic regression analysis showed that irregular breakfast ( OR =2.64), school bullying ( OR =4.28), being beaten by parents ( OR =2.86), using mobile devices for a long time ( OR =1.08) and sitting for a long time ( OR =1.05) were positively related to depressive symptoms in middle school students ( P <0.05). Long sleep duration ( OR =0.78) and outdoor activity durations of 1-<2, 2-<3 and ≥3 h/d (compared with <1 h/d, OR =0.63, 0.61, 0.49) were negatively related to depressive symptoms in middle school students ( P < 0.05 ). Multivariate Logistic regression analysis showed that 7 statistically signifucant predictive factors constructed a nomogram, and the AUC of the nomogram was 0.77, which had been verified internally and externally with good differentiation and reliability. Conclusions The nomogram prediction model of depressive symptoms provides a convenient and effective risk assessment tool for depressive symptoms among middle school students. The life behavior, diet behavior and injury behavior of middle school students play an important role in the formation of depressive symptoms. It should pay attention to the impact of the behavioral factors on the mental health of middle school students.

OBJECTIVE To explore the specific application and evaluation effect of objective structured clinical examination(OSCE)-guided scenario-based practical teaching mode in training clinical pharmacists. METHODS Fifty-six trainees who participated in the clinical pharmacist training program in the Second Xiangya Hospital of Central South University from October 2020 to September 2022 were selected as the research objects. OSCE-guided teaching was conducted, and the application effect of OSCE-guided teaching mode in clinical pharmacist training was explored and analyzed by using theoretical examination results and OSCE assessment results as evaluation indicators. RESULTS Through comparative analysis, it was found that the OSCE-guided teaching mode not only enabled students to better grasp the theoretical knowledge points required by the training outline, but also improved their clinical thinking ability, problem-solving ability, and communication and coordination skills to varying degrees. CONCLUSION For clinical pharmacist trainees, the OSCE teaching mode is conducive to the comprehensive improvement of clinical pharmacist skills and is suitable for cultivating clinical pharmacists who are capable of independently carrying out clinical pharmacy services in the new situation.

Objective To investigate the mid-term effect and complications of arthroscopic popliteal tendon suture in the treatment of lateral meniscus injury.Methods From January 2016 to December 2020,the data of 57 patients with lateral meniscus popliteal tendon injury treated by arthroscopic popliteal tendon suture fixation were retrospectively analyzed,includ-ing 35 males and 22 females,aged from 18 to 47 years old with an average of(32.9±7.9)years old.Knee function was evaluat-ed using the International Knee Documentation Committee(IKDC)and Lysholm scores both before the operation and at the fi-nal follow-up.Meniscus healing was evaluated according to the postoperative Barrett standard.Wound healing complications,such as vascular injury,nerve injury,and lower extremity venous thrombosis,were recorded.Results All 57 patients were fol-lowed up for 12 to 58 months with an average of(38.1±14.9)months.The incisions of the patients after the operation were all Grade A healing without infection,popliteal tendon injury,blood vessel injury,nerve injury and lower extremity venous throm-bosis.The IKDC score increased from(49.7±3.6)points preoperatively to(88.5±4.4)points in the final follow-up(P＜0.05).The Lysholm score increased from(48.8±4.9)points preoperatively to(91.9±3.9)points at the final follow-up(P＜0.05).At 3,6 months and 1 year after operation,according to Barrett's criteria,54 cases were clinically healed,the healing rate was 94.7％(54/57).Conclusion This study preliminarily confirmed that arthroscopic suture technique can result in clinical sta-bility through suture and fixation of the meniscus in the injured lateral popliteal tendon area.No adverse effects on knee joint function were found in the mid-term follow-up after the operation.

Objective Based on the theory of Information-Knowledge-Attitude-Practice(IKAP),the reliability and validity of the discharge preparation scale for patients with diabetic foot(DF)was developed and tested,which is in accordance with the national conditions and disease characteristics of our country.Methods Based on the IKAP theoretical framework,articles were identified through literature analysis,qualitative interviews and Delphi method.After pre-investigation,a total of 483 patients with DF were selected from 3 general hospitals in Jiangxi province from June 2023 to February 2024.The items were screened by item analysis,and the reliability and validity were tested.Results The discharge preparation scale for patients with DF included 4 dimensions and 29 items.The Cronbach's α coefficient was 0.934;the scores of each dimension Cronbach's α coefficient ranged from 0.889 to 0.947;the overall split-half reliability was 0.966,and the split-half reliability of each dimension ranged from 0.901 to 0.952.A total of 4 common factors were extracted by exploratory factor analysis,and the cumulative contribution rate of variance was 68.074％.The x2/df value of confirmatory factor analysis was 1.906.The fitting fit of the model is suitable.The content validity was 0.973 at scale level and 0.875～1.000 at item level.Conclusion The reliability and validity of the discharge preparation scale for patients with DF are good,and it can be used as a tool to evaluate the discharge preparation for patients with DF.

Objective To clone the HnGUA gene from Hirudo nipponia and conduct bioinformatics analysis,protein prokaryotic expression analysis and gene differential expression analysis.Methods Based on the transcriptome data of H.nipponia in the previous study,the full-length cDNA of HnGUA was cloned by rapid amplification of cDNA ends(RACE),and bioinformatics analysis was performed.The prokaryotic expression vector was constructed,transformed into Escherichia coli BL21(DE3)competent cells and the expression of recombinant protein was induced by IPTG.The qPCR was used to further analyze the tissue-specific expression of HnGUA.Results The size of HnGUA gene was 504 bp,containing an open reading frame(ORF)of 231 bp and encoding 76 amino acids.Its protein molecular weight and isoelectric point are 8.17 kDa and 4.44,respectively.Multiple sequence alignment analysis showed that HnGUA was highly homologous to genes in other leech species that encode inhibitory proteins.The results of the prokaryotic expression analysis showed that the constructed pET32a-HnGUA vector could be successfully expressed in E.coli BL21(DE3),and the SDS-PAGE results showed that the induced recombinantly expressed HnGUA protein was around 6 kDa,which was basically consistent with the predicted protein size.The results of the Real-time PCR revealed spatial and temporal differences in the expression profiles of HnGUA,with high levels of expression detected in the skin and crop tissues.Conclusion This study represents the first successful cloning of the HnGUA gene from H.nipponia and the expression of the corresponding recombinant protein in E.coli.It provides a foundation for future exploration of the biosynthetic pathways and molecular regulatory mechanisms of active small anticoagulant molecules in leeches.

Objective:To investigate the effects of naringin(NRG)on apoptosis,proliferation,migration and invasion of oral squa-mous cell carcinoma(OSCC)cells.Methods:NRG of 0,5,10,15,20,25 and 30 μmol/L was respectively used to treat OSCC CAL-27 cells,and CCK-8 assay was used to cell vitality.CAL-27 cells were divided into low,medium and high dose NRG groups(NRG-L,NRG-M and NRG-H),Compound C(AMPK inhibitor)group,NRG-H+Compound C group,and control group(NC group,normal cul-ture).Cell proliferation,apoptosis,migration and invasion were detected by CCK-8 assay,EdU staining,flow cytometry,scratch and Tr-answell assays.The expression of aspartate specific cysteine proteinase-3(Caspase-3),proliferating cell nuclear antigen(PCNA),matrix metalloproteinase-2(MMP-2),MMP-9,p-AMPK,sirtuin 1(SIRT1)and acetylated NF-κB p65(Ac-NF-κB p65)was detected by Western blot.Results:5,10 and 20 μmol/L NRG was selected as the low,medium and high dose for the treatment of CAL-27 cells,re-spectively.Compared with NC group,in NRG-L,NRG-M and NRG-H groups EdU positive rate,scratch healing rate,A450 value,num-ber of invasive cells,the protein expression of PCNA,MMP-2,MMP-9 and Ac-NF-κB p65 in CAL-27 cells decreased,the apoptosis rate,and the protein of Caspase-3,p-AMPK,and SIRT1 increased(P＜0.05);in Compound C group EdU positive rate,scratch healing rate,A450 value,the number of invasive cells,the protein expression of PCNA,MMP-2,MMP-9 and Ac-NF-κB p65 in CAL-27 cells in-creased,apoptosis rate and the protein expression of Caspase-3,p-AMPK and SIRT1 decreased(P＜0.05).Compound C reversed the effects of high dose NRG on the proliferation,migration,apoptosis and invasion of CAL-27 cells.Conclusion:The inhibitory effects of NRG on proliferation,migration and invasion of CAL-27 cells and the promotion of apoptosis may be related to activation of AMPK and inhibition of NF-κB pathway.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.