Objective To investigate the relationship between symptom burden and nutritional status under Traditional Chinese Medicine (TCM) constitution classification in patients undergoing chemotherapy. Methods Data on the physical constitution, symptom burden, and nutritional status of 640 patients with malignant tumors within the 21st–28th days of chemotherapy treatment were collected and analyzed. Results Symptom burden was found to have a positive correlation with nutritional risk and TCM bias (except for idiosyncrasies), suggesting that constitution bias may be an important internal factor for the aggravation of clinical symptoms and malnutrition in patients with cancer. Conclusion The relationship between symptom burden and nutritional status in chemotherapy under the guidance of TCM constitution can be studied to predict the nutritional status and symptom burden of patients after chemotherapy to guide the symptom and nutritional management of patients with cancer in the chemotherapy stage.

The application of artificial intelligence （AI） in the medical field has significantly improved medical efficiency， yet it has also posed numerous ethical challenges. From the perspective of traditional Confucianism， this paper explored ethical challenges faced in the application of medical AI and the responses of Confucianism， elaborating on the importance of Confucianism in achieving value alignment. This paper analyzed the ethical dilemmas faced by medical AI in practical applications from four aspects， including the doctor-patient trust crisis， patient safety issues， fairness and conflict of interest， and challenges of responsibility attribution. It also explored the application of Confucianism in the ethical governance of medical AI， focusing on the analysis of how “benevolence，”“righteousness，” and role ethics deal with issues such as doctor-patient trust， patient safety， fairness， market profit-seeking， and responsibility allocation. By emphasizing the guiding role of ethical principles in technological development through the principle of “governing technology with ethics，” the achievement of the value alignment goal in medical AI can be promoted. Confucianism provides an important ethical foundation for the value alignment of medical AI. Its core concepts run through the deep integration of technology and ethics， offering unique cultural wisdom and practical solutions for AI governance on a global scale.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

To investigate the anti-atherosclerotic effects of dietary hesperidin and naringin on ather-osclerosis in rabbits.Twenty-four adult healthy male New Zealand Large White rabbits were ran-domly assigned to four groups based on one factor:control(Con),model(Mod),hesperidin(HP),and naringenin(NG),each containing six rabbits and housed in solitary cages.During the experi-mental period,the control group received normal feed;the model group was fed high-fat for 30 d to establish the atherosclerosis,(AS)model and continued to be fed high-fat feed;the hesperidin and naringenin groups were fed high-fat for 30 d and then underwent AS modeling,and at a later stage,150 mg of hesperidin(or naringenin)was added to the diets at a rate of 1.5 mg per kg of di-et,respectively,for 30 d.Relative body quality,blood lipids,oxidation,and inflammatory factor lev-els were all assessed.At the end of the test period,the test rabbits were sacrificed to obtain the common carotid artery for histopathological section HE staining,Oil red O staining,and Sirius red staining in order to observe vascular tissue structure,lipid and inflammatory cell infiltration,and e-lastic plate and elastic fiber damage.The results indicated that the relative body quality of the mod-el,HP and NG groups increased rapidly,and the difference with the control group within the same period was highly significant(P＜0.01);The HP and NG interventions significantly decreased to-tal cholesterol(TC)and low-density lipoprotein cholesterol(LDL-C)levels(P＜0.01),while also leading to a significant increase in high-density lipoprotein cholesterol(HDL-C)levels(P＜0.01);MDA levels exhibited a significant decrease(P＜0.01),while SOD levels showed a notable in-crease(P＜0.01)following the HP and NG interventions;After HP and NG interventions,TNF-α and IL-1 were regressed(P＜0.01)and IL-10 was significantly elevated(P＜0.01);Compared with the control group,the model group showed approximately 41.8 and 2.5 fold thickening of the maximal endo-medial membrane,respectively,and the HP and NG interventions showed approxi-mately 13 and 15 fold thickening of the maximal endo-medial membrane,and both of the maximal medial membranes thickened by approximately 1.4 fold;Staining of pathological sections showed that HP and NG intervened to significantly reduce inflammatory cell infiltration,deposition of lipid components,slight thickening of the endothelium,and intact fibroblastic components.The results showed that the addition of HP and NG to diets could regulate blood lipids and exert anti-inflam-matory and antioxidant effects by inhibiting the expression of inflammatory factors and oxidizing factors,showing significant anti-AS effects,and the two effects were comparable.

Premature ovarian insufficiency(POI),also known as premature ovarian failure(POF),is one of the major causes of female infertility.Its incidence has been increasing year by year,seriously af-fecting women's reproductive health and becoming an increasingly serious public health problem world-wide.The pathogenesis of POI is complex and may be related to genetic,immune and environmental fac-tors,but in recent years,oxidative stress(OS)has received widespread attention as a key factor that can affect the function of ovarian granulosa cells(GCs),which can lead to the occurrence of POI.Reactive oxygen species(ROS)regulate the proliferation,survival and apoptosis of GCs through multiple signaling pathways,such as PI3K-Akt,MAPK,TGF-β/Smad,Notch,etc.AMPK and mitochondrial autophagy play important roles in attenuating the ROS damage and protecting the ovarian function.Excessive ROS disrupts the autophagy and lysosomal functions,leading to the accumulation of intracellular waste prod-ucts,thus affecting the physiological function and endocrine stability of GCs.In addition,OS can in-crease the risk of POI by affecting hormone synthesis and disrupting the function of GCs,leading to an imbalance in estrogen and progesterone levels.Herein we review the mechanism of OS in POI,explore how OS affects ovarian decline through the regulation of signaling pathways and cellular functions,and provide a theoretical basis for the clinical treatment of POI,which in turn provides new research ideas for its early diagnosis and prevention.

Objective To explore the factors influencing cognitive frailty in elderly inpatients with chronic heart failure(CHF)during hospitalisation,8 prediction models were developed with various machine learning algorithms to identify the best model as a guidance for medical staff on clinical interventions.Methods Convenience sampling method was used to select 650 elderly CHF inpatients who stayed in our hospital between September 2023 and June 2024 as the study objects in the cross-sectional investigation.A total of 607 patients had completed the study.The patients were divided into a cognitive frailty group and a non-cognitive frailty group according to the presence or absence of cognitive frailty.Variables were initially screened using univariate analysis and stepwise Logistic regression.The total sample was then randomly divided into a training set(n=424)and a testing set(n=183)of a 7:3 ratio.Eight predictive models were created using the algorithms of neural network(NN),k-nearest neighbour(KNN),linear discriminant analysis(LDA),support vector machine(SVM),naive Bayes(NB),logistic regression,decision tree(DT)and random forest(RF)on the training set.The predictive performance of the models was compared using the data of the testing set.Results The prevalence of cognitive frailty in elderly CHF inpatients was 48.3%.Results of Logistic regression showed that age,marital status,education,body mass index,multi-morbidity,nutritional status,medication,frequency of weekly exercise and the living conditions were the key factors(P<0.05).The overall accuracy in classification of the eight predictive models ranged from 0.803 to 0.847,with F1-values of 0.778 to 0.833,precision of 0.848 to 0.897,and recall rate of 0.700 to 0.778.The area under the receiver operating characteristic curve was 0.820 to 0.901.Conclusion Of the eight predictive models,the prediction model created with LDA shows the best performance and prediction in terms of comprehensive prediction metrics,while the prediction model created with NN shows the worst performance in comprehensive prediction.

Objective:To learn about the clinical characteristics of patients with neurobrucellosis (NB) and provide references for clinical diagnosis and treatment of NB.Methods:The clinical data of 22 NB patients diagnosed and treated at Beidahuang Industry Group General Hospital from January 2018 to November 2024 and 178 healthy individuals undergoing physical examinations during the same period were retrospectively collected. The epidemiological characteristics, clinical manifestations, laboratory tests, treatment and prognosis of NB patients were analyzed.Results:Among the 22 NB patients, 12 were males (54.55%) and 10 were females (45.45%). The age was (51.77 ± 12.75) years old, ranging from 27 to 80 years old. Most of the patients were farmers (95.45%, 21/22), and 16 cases (72.73%) had contacted with cattle/sheep. The onset seasons were mainly in summer (40.91%, 9/22) and spring (31.82%, 7/22). Among all NB patients, there were 10 cases of encephalitis/meningoencephalitis, 9 cases of myelitis, and 3 cases of meningitis. The general symptoms were mainly fever (68.18%, 15/22), the neurological symptoms were mainly nausea and vomiting (36.36%, 8/22), and the physical signs were mainly muscle weakness (50.00%, 11/22) and pathological signs (45.45%, 10/22). The laboratory test results showed that the levels of hemoglobin, hematocrit, C-reactive protein, total protein, albumin, γ-glutamyl transpeptidase, α-hydroxybutyric acid dehydrogenase, lactate dehydrogenase, and glutathione reductase in NB patients were significantly different from those in healthy individuals ( P < 0.001). Brain magnetic resonance imaging revealed ischemic changes in 5 cases (22.73%), abnormal brain signals in 2 cases (9.09%), and demyelinating lesions in white matter in 1 case (4.55%). After treatment, 18 NB patients were followed up and showed good prognosis, with only 2 cases exhibiting varying degrees of sequelae (walking disorders or memory impairment). Conclusions:The clinical manifestations of NB patients are diverse. A comprehensive judgment should be made by combining epidemiological characteristics, clinical manifestations, laboratory tests and imaging examinations.

Aim To investigate the effect of N6-methy-ladenosine(m6A)demethylase ALKBH5 on the prolif-eration and migration of cardiac fibroblasts(CFs)in-duced by high glucose.Methods Primary CFs were isolated from neonatal mouse hearts and identified u-sing optical and confocal microscopy.Cell activation was induced using a high-glucose medium(33 mmol·L-1 glucose).An ALKBH5 overexpression model was established by transfecting CFs with an ALKBH5 ex-pression vector in a high-glucose medium.The expres-sion of ALKBH5 in CFs was assessed through immuno-fluorescence staining,Western blot and RT-qPCR.Changes in m6A levels were evaluated using Dot blot a-nalysis.Additionally,Alterations in the expression of proliferating cell nuclear antigen(PCNA)and collagenⅠ,a pivotal fibrosis indicator,were measured using Western blot.The proliferation and migration ability of CFs were assessed through EdU staining and Transwell migration assay,respectively.Results Following treatment with high glucose,the expression of ALKBH5 in CFs notably decreased,while m6A level increased.This was accompanied by a significant increase in the expression of the proliferation marker PCNA and the fi-brosis marker collagen Ⅰ.Additionally,there was a sig-nificant improvement in the ability of proliferation and migration.Overexpression of ALKBH5 resulted in a significant decrease in the expressions of PCNA and collagen Ⅰ,leading to the inhibition of both proliferation and migration in CFs.Conclusion Overexpression of ALKBH5 suppresses the expression of PCNA and colla-gen Ⅰ,consequently reducing the proliferation and mi-gration of CFs,potentially through m6A methylation modification.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.