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）］

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.

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.

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 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 evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

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.

Objective To investigate the effects of Chaihuang Yishen Granules on renal fibrosis in unilateral ureteral obstruction(UUO)mice and its underlying mechanisms.Methods Twenty-four 8-week-old male C57BL/6 mice were randomly divided into control group,model group,and low and high dose groups of Chaihuang Yishen Granules(6 in each group).In control group,only right kidney ureter was exposed and dissected.In model group,the UUO animal model was established by UUO.In low and high dose groups,mice were administered intragastrically at doses of 3.8 and 7.6 g/kg of Chaihuang Yishen Granules respectively,following the model group's method to establish the UUO model.After 7 days,the mice were euthanized and renal samples were collected.HE and Masson staining were used to observe pathological changes and fibrosis degree of the kidneys in each group,Sirius red staining was used to observe collagen deposition.The expression levels of α-smooth muscle actin(α-SMA),fibronectin(FN),type Ⅰ collagen(Col-Ⅰ),glycogen synthase kinase 3β(GSK-3β),and β-catenin related proteins were detected using Western blotting.Changes in A33 and GSK-3β,β-catenin mRNA levels were measured by RT-PCR.Additionally,a normal transformed C3H mouse kidney-1(TCMK1)was used as control(normal group);an in vitro fibrosis model was established using TCMK1 stimulated with Transforming Growth Factor-β(TGF-β);and an in vitro drug model was established using TCMK1 treated with serum containing Chaihuang Yishen Granules.A33 was overexpressed in TCMK1 cells using a transfection with an A33 overexpression plasmid,and changes in fibrosis-related indicators and the expression of A33 and GSK-3β,β-catenin mRNA were observed.Results RT-PCR results showed that,compared with control group,A33 level was significantly increased in model group,while it was significantly reduced in both low and high dose groups of Chaihuang Yishen Granules(P＜0.05).Western blotting showed that the expression levels of fibrosis-related factors such as α-SMA,FN,Col-Ⅰ in model group were significantly higher than those in control group(P＜0.05);while compared with model group,the expression levels of α-SMA,FN,Col-Ⅰ in low and high dose groups of Chaihuang Yishen Granules were significantly lower(P＜0.05).HE,Masson,immunohistochemical staining results showed that model group had severe kidney structural damage,significant increase in collagen deposition,and significantly higher expression levels of GSK-3β and β-catenin proteins compared with those in control group(P＜0.01).In contrast,low and high dose groups of Chaihuang Yishen Granules had good kidney structure,significant improvement in kidney damage and fibrosis,and significantly lower expression levels of GSK-3β and β-catenin proteins compared with those in model group(P＜0.05).In vitro experiment results confirmed that,compared with normal group,A33 overexpression promoted the upregulation of fibrosis-related factors in TCMK1 cells,significantly increase the expression of downstream target genes GSK-3β and β-catenin mRNA in the Wnt/β-catenin signaling pathway(P＜0.05),and A33 overexpression reversed the cellular fibrosis changes downregulated by the serum containing Chaihuang Yishen Granules(P＜0.01).Conclusion Chaihuang Yishen Granules significantly improve renal fibrosis in UUO mice by downregulating the A33/Wnt/β-catenin signaling pathway,suggesting that A33 may be a potential therapeutic target for renal fibrosis.

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 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.