Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

OBJECTIVE To investigate the protective effect proanthocyanidin B2(PC-B2) on oxidative damage and apoptosis of mouse astrocytes(AS) induced by hydrogen peroxide(H2O2) and its mechanism. METHODS AS were isolated and cultured from neonatal C57BL/6 mice(1−3 d). The optimal concentration of H2O2 and PC-B2 was divided into four groups: normal group, normal+PC-B2 group(100 μg·mL‒1 PC-B2 treated for 24 h), H2O2 model group(200 μmol·L‒1 H2O2 treated for 24 h), PC-B2 group(200 μmol·L‒1 H2O2 and 100 μg·mL‒1 PC-B2 treated for 24 h). The cell viability of each group was detected by CCK-8 method. Cytotoxicity was detected by LDH method. The antioxidant capacity was detected by ABTS and DPPH. The content of MDA and the activity of SOD, CAT and GSH-Px were detected by ELISA kit. Detection of apoptosis in each group was done by TUNEL staining. The mRNA and protein expression levels of Bax, Bcl-2, Caspase-3, Akt/Stat3, p-Akt, p-Stat3 and Nrf2/HO-1 in AS were detected by RT-PCR and Western blotting, respectively. RESULTS PC-B2 could significantly enhance cell viability and inhibit AS apoptosis. Compared with the H2O2 model group, PC-B2 intervention could significantly reduce the content of LDH and MDA in AS, and increase the activity of SOD, CAT and GSH-Px. PC-B2 intervention could inhibit the mRNA and protein expression of Bax and Caspase-3, and up-regulate the mRNA and protein expression of Akt/Stat3, Bcl-2, Nrf2/HO-1. CONCLUSION PC-B2 can enhance the antioxidant capacity of AS through Akt/Stat3 and Nrf2/HO-1 pathways, therefore reduce H2O2-induced AS oxidative damage and apoptosis.

Objective To investigate the inhibitory effects of magnesium citrate(MgCit)on oxidative stress in chronic renal failure(CRF).Methods SD rats were divided into CRF model group,MgCit groups(375 and 750 mg/kg),normal control group,and MgCit control group(750 mg/kg).The morphology of mitochondria in thoracic artery vascular smooth muscle cells(VSMCs)was observed by transmission electron microscopy.The content of superoxide dismutase(SOD)and malonaldehyde(MDA)in rat aorta and plasma was detected by the kit.The VSMCs were divided into normal control group,CRF model group,and MgCit groups(1.5 and 3 mmol/L).The levels of superoxide anion(DHE)and apoptosis were quantitatively detected by flow cytometry.Results Compared with the control groups,the mitochondria were swollen and the cristae fractured or disappeared in the model group;MgCit intervention could reduce mitochondrial swelling,but not cristae fracture.In the model group,SOD level in aorta and plasma decreased(P＜0.05)while MDA level increased(P＜0.05).MgCit intervention could increase SOD in aorta and plasma,but decrease MDA level(P＜0.05).In the CRF environment,the DHE content of VSMCs and apoptosis in CRF model group increased(P＜0.05).MgCit intervention could decrease DHE content and inhibit apoptosis(P＜0.05).Conclusion MgCit inhibits oxidative stress levels in vivo and in vitro in CRF.

BACKGROUND:The temporal and spatial expression of fibroblast growth factor receptors 1 and 2 remains a controversial issue during kidney development,so the relationship between them and kidney development remains unclear. OBJECTIVE:To observe the dynamic expression of fibroblast growth factor receptors 1 and 2 during kidney development of mice,and to investigate the relationship between them and kidney development. METHODS:The kidneys of fetal mice[embryotic days(E)12,14,16,and 18]and neonatal mice[neonatal days(N)1,3,7,14,24,and 40]were selected to examine the temporal and spatial expression of fibroblast growth factor receptors 1 and 2 by immunohistochemistry method in kidney tissues,and quantitative analysis was performed using western blot assay. RESULTS AND CONCLUSION:(1)Immunohistochemistry showed that fibroblast growth factor receptor 1 was mainly localized in metanephric tissue surrounding the tip of the ureteral bud at E12.Subsequently,fibroblast growth factor receptor 1 was expressed in immature renal corpuscles at various stages,some distal convoluted tubules and capillary loops.The positive site was mainly concentrated in the generative region.Fibroblast growth factor receptor 2 was initially expressed in both ureteral buds and metanephric tissue.Fibroblast growth factor receptor 2 was localized in immature renal corpuscles,distal tubules,collecting ducts and thin segments of medullary loops with kidney development.However,the expression of renal corpuscles was weak.(2)Stereology and western blot assay showed that the expression of fibroblast growth factor receptor 1 was high before birth and gradually decreased after birth,while the expression was very low after N7 day.The expression level of fibroblast growth factor receptor 2 increased gradually with the kidney development and tended to be stable after N7 day.(3)The results exhibit that fibroblast growth factor receptors 1 and 2 are expressed spatially and temporally during kidney development.It is speculated that fibroblast growth factor receptors 1 and 2 may influence nephron development and maturation,and fibroblast growth factor receptor 2 is critical during the formation of ureteral buds and morphology.

Objective To investigate the status quo of cancer-related fatigue(CRF)in patients with advanced malignant tumours during anti-tumour treatment,and explore the influencing factors so as to provide a reference for nursing intervention.Methods Between January and August 2022,a total of 279 patients with advanced malignant tumours who received anti-tumour therapies in the Department of Oncology of a general hospital in Beijing were selected as study subjects using convenience sampling method.General data questionnaire,cancer fatigue scale,chemotherapy-related gastrointestinal symptoms inventory,and nutritional risk screening 2002 were used for the investigation.Logistic regression analysis was conducted to determine the influencing factors of cancer-related fatigue.Results Toally 279 patients finished the study.A total of 204(73.12%)patients had cancer-related fatigue.Binary logistic regression analysis showed that BMI,education,monthly family income and diabetes were the influencing factors in cancer-related fatigue(all P<0.05).Conclusions The incidence of cancer-related fatigue is high in patients with advanced malignant tumours during anti-tumour therapy.Low BMI,poor education,low monthly family income and diabetes are the risk factors in cancer-related fatigue.Targeted interventions should be implemented based on the risk factors so as to reduce the incidence of cancer-related fatigue.

Objective To explore the influence of impulsivity on digital addiction tendencies in patients with Wilson disease(WD)and its related factors.Methods A total of 66 patients with WD were included in the study which were divided into neurological WD group(42 cases)and hepatic WD group(24 cases)according to clinical manifestations.Sixty-six WD patients were included as the study subjects,including 24 cases of hepatic WD and 42 cases of neurological WD.The Chinese version of the Barratt impulsiveness scale(BIS-11-C)was used to assess patients'impulsiveness.Mobile phone addiction index(MPAI)evaluates the degree of dependence on mobile phone use.Cranial MRI was used to examine the location and cumulative frequency of the diseased brain region.Results Among the 66 WD patients,45 cases(68.2% )had the tendency of digital addiction,including 35 cases(53.0% )in the neurological WD group and 10 cases(15.2% )in the hepatic WD group.There was a statistically significant difference in the proportion of the two types of WD patients(P=0.001).The scores of BIS-11-C and MPAI scales in neurological WD group were higher than those in hepatic WD group(P<0.05).The out-of-control score in the MPAI scale is positively correlated with the attention impulsivity score(r=0.499,P=0.001),motor impulsivity score(r=0.553,P=0.001),unplanned impulsivity score(r=0.535,P=0.001),and impulse control score(r=0.653,P=0.001)in the BIS-11-C scale.Linear regression analysis showed a correlation between attention impulsivity score and frontal lobe lesions(B=-1.634,P=0.018).There was a correlation between loss of control score and frontal lobe lesions(B=-3.609,P=0.023).The withdrawal score was associated with the thalamus lesions(B=-5.047,P=0.007)and frontal lobe lesions(B=-2.204,P=0.024).Avoidance score was associated with parietal lobe lesions(B=-1.867,P=0.032).The low efficacy score was associated with the putamen lesions(B=-1.789,P=0.016)and frontal lobe lesions(B=-1.592,P=0.044).Conclusion Neurological WD patients have higher tendency of digital addiction than hepatic WD patients and the tendency of digital addiction is related to impulsivity.The digital addiction tendency of WD patients may be related to impulse control disorders caused by lesions in multiple brain regions such as the putamen,thalamus,and frontal lobe.

Objective:To explore the interplay between tumor microenvironment (TME)-associated genes, cuproptosis, and the prognosis of liver cancer through transcriptome sequencing and functional genomics analysis.Methods:Employing a hybrid approach that integrates bioinformatics with fundamental experimental research, we utilized the TCGA database to acquireexpression profiles and clinical-pathological information from 424 liver hepatocellular carcinoma patients. We evaluated ImmuneScore and StromalScore to categorize patients into high and low groups, subsequently identifying differentially expressed genes (DEG) at the intersection of these groups. Core DEG were identified through univariate Cox regression analysis and protein-protein interaction (PPI) network analysis. The association between the expression levels of core genes and the survival time of liver cancer patients was analyzed using the R language and Kaplan-Meier analysis, and verified using the Kaplan-Meier Plotter online database. We established a cuproptosis cell model and performed RNA-seq to examine gene expression alterations during copper-induced cell death, followed by in vitro cell experiments for verification.Results:A total of 1 701 and 2 041 DEG were llinked t ImmuneScore and StromalScore, respectively, encompassing 1 134 commonly upregulated genes and 60 commonly downregulated genes. The top 30 core genes from the PPI network's dominant nodes were cross-referenced with univariate Cox regression results, leading to the identification of the pivotal immune gene CCR7. CCR7 mRNA expression levels were higher in hepatocellular carcinoma tissues than in normal tissues ( P<0.05). Patients with high expression of CCR7 in liver cancer had a longer overall survival compared to those with low expression ( P=0.003). Treatment with elesclomol-CuCl2significantly curtailed the survival of hepatocellular carcinoma cel ( P<0.001). RNA-seq data from the cuproptosis model indicated a downregulation of CCR7 expression during the onset of cuproptosis [|log 2(FC)|=2.27, P<0.001], and downregulation of CCR7 expression enhanced the sensitivity of hepatocellular carcinoma cells to cuproptosis inducers. Conclusion:The TME-related gene CCR7 is implicated in cuproptosis, and its downregulation might facilitate the process in liver cancer.CCR7 holds potential as a biomarker for liver cancer prognosis.

Objective To construct and validate a risk prediction model for enteral nutrition feeding intolerance (FI) in patients with severe cerebral hemorrhage based on machine learning algorithms. Methods The clinical data of 485 patients with cerebral hemorrhage admitted to the neurological intensive care unit of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January 2020 to December 2022 were retrospectively analyzed. The patients were randomly divided into training set (n=339) and validation set (n=146) in a 7 to 3 ratio. Five machine learning algorithms were used to construct FI risk prediction models. The receiver operating characteristic (ROC) curve was plotted, and the model with the best predictive performance was selected based on the area under the curve (AUC). A nomogram model was constructed based on the optimal model. The calibration curve and decision curve analysis (DCA) were used to evaluate the calibration and clinical net benefit of the nomogram model. Results The incidence of enteral nutrition FI in patients with severe cerebral hemorrhage was 38.4%(186/485). Among the five machine learning algorithm models, the Logistic regression model had the best predictive performance(AUC=0.88). The analysis results of the Logistic regression model showed that the use of diuretics, mechanical ventilation, Glasgow Coma Scale score ≤5, vasoactive drugs, and albumin level<35 g/L were risk factors for enteral nutrition FI in patients with severe cerebral hemorrhage. A nomogram model was further constructed based on these five risk factors. The calibration curve analysis showed that the calibration curve fitted well with the ideal curve, indicating a high calibration degree of the nomogram model. The DCA results showed that when the threshold probability was 5% to 73%, the application of the nomogram model for screening could clinically benefit patients. Conclusion The construction of a nomogram model for predicting the risk of enteral nutrition FI in patients with severe cerebral hemorrhage based on machine learning methods can help to early screen high-risk patients for enteral nutrition FI and timely formulate preventive measures, thereby reducing the incidence of enteral nutrition FI in patients with severe cerebral hemorrhage.

Objective:To analyze the clinical characteristics of elderly-onset gouty arthritis and risk factors of tophi.Methods:A total of 1 239 gout patients were retrospective selected in the outpatient department of the Gout Clinical Medical Center of the Affiliated Hospital of Qingdao University from 2016 to 2022. According to age of onset, they were divided into the young and middle-aged group(aged<60) consisted of 826 cases, and the elderly group(aged≥60) consisted of 413 cases. Compare the clinical characteristics of elderly with Young and Middle-aged patients.Results:The systolic blood pressure, fasting blood glucose, creatinine, regular exercise, comorbidities, and tophi in the elderly group was higher than that in the middle-aged and young group. The proportion of diastolic blood pressure, serum triglycerides, eGFR, serum uric acid, alcohol consumption rate, and family history of gout was lower than that of young and middle-aged group( P<0.05); In the elderly-onset group, the initial site of arthritis was commonly observed in the first metatarsophalangeal joint. The proportion of the first attack with the upper limb joint was higher in old age group than in young and middle age group( P<0.05). Renal underexcretion type was the main subtype in the elderly group, and the proportion of overproduction type was higher than that of the young and middle-aged group( P<0.05). The logistic regression analysis showed that age, urea nitrogen, disease duration≥10 years and family history of gout were risk factors for tophi in elderly patients( P<0.05). Conclusion:The elderly-onset gout has unique clinical characteristics, characterized by a higher prevalence of tophi, a higher rate of complications. An initial site of arthritis commonly observed in the first metatarsophalangeal joint and the predominant type of uric acid excretion is renal excretion impairment. Early diagnosis and treatment, control of blood uric acid levels, smoking cessation and alcohol, regular exercise should be applied to prevent or delay the formation of tophi.

In recent years, organ donation and transplantation have entered a stage of steady development in China. Nevertheless, the shortage of transplant organs and the contradiction between supply and demand of organs are still the bottlenecks to achieve the strategy of "self-sufficiency in organ transplantation" advocated by the World Health Organization (WHO). The key reasons for donor loss described in the "critical pathway of organ donation" defined by the WHO include the identification and referral of potential donors and the maintenance and repair of organs. Smooth development, high efficiency and high-quality development of organ donation cannot be achieved without the support of intensive care medicine, which are highly associated with the cognition, recognition and participation of intensive care unit(ICU) staff. In this article, research progress in ICU staff’s cognition, attitude and willingness for organ donation were reviewed and relevant influencing factors were discussed, aiming to offer targeted suggestions on how to resolve these difficulties.