BackgroundMany studies have shown that patients with depressive disorder show impairments in prospective memory， while it is deemed necessary for facilitating their social reintegration， and the current research findings are inconsistent regarding the factors affecting prospective memory of patients with depressive disorder. ObjectiveTo explore the impact of target characteristics （emotional valence and salience） on prospective memory in patients with depressive disorder， so as to provide references for the training and recovery of prospective memory function in these patients. MethodsFrom January to December 2022， 53 patients with depressive disorder were recruited from the outpatient department of Inner Mongolia Autonomous Mental Health Center. Meanwhile， 45 healthy individuals were concurrently recruited from surrounding communities as control group. An experiment with a 2 （participant type： depressive disorder， healthy control） ×2 （target salience： salient， non-salient） ×3 （emotional valence： positive， neutral， negative） factorial design was conducted. The positive/neutral/negative emotional pictures from Chinese Affective Picture System （CAPS） were used for emotional stimulation. A dual-task experimental paradigm was adopted， and the response time and accuracy in prospective memory task and ongoing task were recorded for participants with different target characteristics. Results①In the prospective memory task， the main effect of participant type was statistically significant， with the depressive group showing lower accuracy （F=14.892， P<0.01） and longer response time （F=10.642， P=0.002） compared with control group. ② The main effect of target emotional valence on accuracy （F=7.575， P=0.001） and response time （F=3.196， P=0.044） in the prospective memory task was statistically significant. Simple effect analysis revealed that depressive group yielded a shorter response time and higher accuracy rate under negative conditions compared with positive and neutral conditions （P<0.05 or 0.01）. ③ The main effect of target salience on accuracy （F=6.659， P=0.012） and response time （F=10.106， P=0.002） in the prospective memory task was also statistically significant， with higher accuracy and shorter response time for salient targets compared with non-salient targets. ConclusionPatients with depressive disorder demonstrate preferential attention to and processing of negative stimuli in prospective memory tasks， while increasing target salience may facilitate spontaneous processing of prospective memory task in patients with depressive disorder. ［Funded by Inner Mongolia Health Commission Medical Health Science and Technology Project （number， 202202104）］

Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of Rehmannia glutinosa by various chromatographic techniques such as silica gel, MCI gel CHP-20, ODS, Toyopearl HW-40C, combined with TLC and semi-preparative HPLC. Their structures were elucidated by modern spectroscopy techniques (NMR, MS, UV, IR), and identified as neomartynoside A (1), osmanthuside B₆ (2), martynoside (3), isomartynoside (4), (E)-p-hydroxycinnamic acid (5), caffeic acid (6), ferulic acid (7), and methyl caffeate (8). Compound 1 is a new phenylethanol glycoside, which was identified as neomartynoside A. Compound 2 was isolated from Rehmannia glutinosa for the first time. In addition, compounds 2, 6 and 7 significantly increased relative glucose consumption, showing potential hypoglycemic activity.

OBJECTIVE To investigate and analyze the pharmaceutical care needs of the elderly， thus providing a reference for improving the pharmaceutical care for the elderly. METHODS Based on the Kano model， a questionnaire was designed， and 1 200 community-dwelling elderly in the main urban area of Chongqing were selected as the survey subjects. The study analyzed the attributes and urgency of their pharmaceutical care needs to put forward optimization strategies. RESULTS A total of 1 200 questionnaires were distributed in the study， and 1 062 valid questionnaires were collected， with an effective response rate of 88.50%. The gender distribution of respondents was relatively balanced， with the majority aged between 60 and 69 （43.41%）， and generally possessing a relatively low level of educational attainment. The results showed that medication education and medication consultation were must-be needs； home-based pharmaceutical care was an expected need； drug reorganization， medication monitoring， pharmaceutical science popularization， and pharmaceutical ward round were attractive needs； internet-based pharmaceutical care was indifferent need. The urgent order of demand was medication education ＞ medication consultation ＞ home-based pharmaceutical care ＞ pharmaceutical science popularization ＞ drug reorganization ＞ medication monitoring ＞ pharmaceutical ward round ＞ internet-based pharmaceutical care. CONCLUSIONS The community elderly in Chongqing have high expectations for pharmaceutical care as a whole. Medical institutions should fully guarantee the two essential needs of medication education and medication consultation， and focus on ensuring the expected needs for home-based pharmaceutical care. Efforts should be made to develop the four attractive needs of pharmaceutical science popularization， drug reorganization， medication monitoring， and pharmaceutical ward round， and actively carry out age-friendly adaptations for internet-based pharmaceutical care.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective To explore clinical effect of closed reduction percutaneous elastic intramedullary nail assisted by arthrography in the treatment of radial neck fracture in children.Methods A retrospective analysis was performed on 23 chil-dren with radial neck fracture treated with arthrography assisted closed reduction and percutaneous elastic intramedullary nail internal fixation(arthrography with elastic nail group)from January 2019 to December 2022,including 12 males and 11 fe-males,aged from 2 to 12 years old with an average of(7.36±1.89)years old;According to Judet fracture types,14 children were type Ⅲ and 9 children were type Ⅳ.In addition,23 children with radial neck fracture were selected from January 2015 to December 2018 who were treated with closed reduction and percutaneous elastic intramedullary nail fixation(elastic nail group),including 11 males and 12 females,aged from 2 to 14 years old with an average of(7.50±1.91)years old;Judet classi-fication included 15 children were type Ⅲ and 8 children were type Ⅳ.Operative time and intraoperative fluoroscopy times were compared between two groups.Metaizeau evaluation criteria was used to evaluate fracture reduction,and Tibone-Stoltz evaluation criteria was used to evaluate functional recovery of elbow between two groups.Results Both groups were followed up for 12 to 24 months with an average of(16.56±6.34)months.Operative time and intraoperative fluoroscopy times of elastic nail group were(56.64±19.27)min and(21.13±7.87)times,while those of joint angiography with elastic nail group were(40.33±1 1.50)min and(12.10±3.52)times;there were difference between two groups(P＜0.05).According to Metaizeau evaluation,11 patients got excellent result,9 good and 3 fair in joint angiography with elastic nail group,while in elastic nail group,5 ex-cellent,13 good,4 acceptable,and 1 poor;the difference between two groups was statistically significant(P＜0.05).According to Tibone-Stoltz criteria,14 patients got excellent result,8 good,and 1 fair in joint arthrography with elastic nail group;while in elastic nail group,12 patients got excellent result,9 good,1 fair and 1 poor;there was no significant difference between two groups(P＞0.05).Conclusion Compared to percutaneous elastic intramedullary nail fixation,closed reduction assisted by arthrography has advantages of reduced operation time,decreased intraoperative fluoroscopy frequency,and improved fracture reduction.Arthrography enables clear visualization of the anatomical structures of radius,head,neck,bone,and cartilage in children,facilitating comprehensive display of fracture reduction and brachioradial joint alignment.This technique more pre-cisely guides the depth of elastic intramedullary nail implantation in radius neck,thereby enhancing surgical efficiency and success rate.

This study was aimed at studying the phenotypic and molecular characteristics of a Salmonella Grumpensis isolate from a patient with diarrhea in Shanghai,to provide evi-dence for the prevention of salmonellosis.Biochemical identifi-cation,serum agglutination testing,antimicrobial susceptibility testing,and whole genome sequencing(WGS)were performed on isolate 2023JD76.Global Salmonella Grumpensis genome sequences were searched and downloaded for serotyping predic-tion,multilocus sequence typing(MLST),prediction of anti-microbia resistance genes and virulence genes,and phylogenetic analysis of 2023JD76.The 2023JD76 strain was identified as Salmonella Grumpensis(13,23:d:1,7)with ST2060,and was susceptible to 20 antimicrobial agents.Strain 2023JD76 carried the aminoglycoside resistance gene aac(6')-Iaa and five types of virulence genes:the adhesion genes csg and rat;the secretion and transport genes sip and inv;the typhoid toxin genes cdt and plt;the invasive gene nutrient metabolism factor mgt;and the antimicrobial peptide resistance factor mig.Global S.Grumpensis strains harbored ten types of antimicrobial resistance genes whose prevalence ranged from 58.33％to 100％.The global genome sequences of S.Grumpensis were divided into two lineages.Lineage I was dominated by ST751(88.89％,16/18),and lineage Ⅱ was dominated by ST2060(89.47％,17/19).The genome sequence of strain 2023JD76 belonged to lineage Ⅱ,and was closely related to the genome sequences from human fecal and human cerebrospinal fluid.This study provides the first report of a S.Grumpensis isolate from the stool of a patient with diarrhea in China.Considerable variability in antimicrobial resistance genes was observed among genome sequences from different sources,and the strains harbored a substantial number of virulence genes.Enhanced surveillance should be emphasized to prevent a potential risk of global dissemination.

Objective To establish an animal model of lung adenoma in BALB/c mice based on dynamic characterization by micro-computed tomography(CT).Methods Eighty female SPF-grade BALB/c mice were divided randomly into four groups:model low dose group(1 mg/g urethane,iP,once),model medium dose group(1 mg/g urethane,ip,once a week,followed by 2 weeks),model high dose group(1 mg/g urethane,ip,once a week,followed by 4 weeks),and blank group(equal volume of saline).Growth of lung nodules in the mice was monitored regularly using Micro-CT.Three-dimensional images of the lungs were drawn using the Analyze 12.0 system,and lung tissues were taken for histopathological examination(hematoxylin and eosin).Results Lung nodules with round high-density shadows were observed at week 11 in all model groups compared with the findings in the blank group.The rate of nodule formation increased with increasing modeling weeks,with rates of nodule formation in the model high,medium,and low dose groups of 93.8%,93.8%,and 87.5%,respectively,at week 21.Most mice had two to four,followed by one,and one to two nodules,respectively.The average maximum diameter of the lung nodules in the low dose group was significantly higher than the diameters in the medium-and high-dose groups(P＜0.05),but there was no significant difference in lung nodule volume among the three groups.Regarding pathological type,hematoxylin and eosin staining revealed that the tumors in all the model groups were lung adenomas.Conclusions Lung adenomas were successfully induced in all urethane dose groups of mice and growth of the lung nodules could be characterized by micro-CT.The rate of nodule formation was highest in the medium dose group,which developed a moderate number of lung adenomas and provided a stable model,and was thus considered the most suitable model for the study of lung adenomas in mice.

Objective:To analyze the association between body health score and the risk of hypertension among health examination population aged 40-65 years.Methods:This study was a cross-sectional study, and 1 104 people aged 40-65 years who underwent physical examination at the Physical Examination Centre of the First People′s Hospital of Fuquan City from March to November 2022 were selected. Clinical data, such as general information, physical examination, body composition and history of hypertension diseases, were collected. The body health score was reported by the Xiaomi Body Fat Scale′s accompanying exercise health software, and was calculated by combining body fat, water and other body composition data. The association between body health score and the risk of hypertension was analyzed using restricted cubic spline regression models, while a sensitivity analysis and sex-stratified analyses were performed. Multivariate logistic regression combined with stratified analysis was used to explore the association between dimensions of body composition and the risk of hypertension.Results:The body health score was significantly lower in hypertensive patients than in non-hypertensive patients among the 1 104 health examination population [52.0(30.0) vs 69.0(35.8) points] ( Z=-8.547, P<0.001). The lower the body health score, the higher the risk of hypertension ( χ2=18.48, PNonlinear<0.001). In the total population, high body mass index was associated with an increased risk of hypertension ( OR=1.744, 95% CI: 1.104-2.765), high protein content was associated with a reduced risk of hypertension ( OR=0.587, 95% CI: 0.344-0.982) (both P<0.05). Gender-stratified analyses showed that high protein content was associated with a reduced risk of hypertension only in men ( OR=0.233, 95% CI: 0.080-0.592) ( P=0.004). High body mass index was positively associated with the risk of hypertension when the body health score was ≥60 points ( OR=2.378, 95% CI: 1.255-4.542) ( P=0.008). High visceral adiposity index (VAI) was positively associated with the risk of hypertension when the body health score was <60 points ( OR=4.395, 95% CI: 1.466-13.620), and high protein content was negatively associated with the risk of hypertension ( OR=0.255, 95% CI: 0.091-0.638) (all P<0.05). Conclusions:Health examination population aged 40-65 years with lower scores of physical health are more likely to have a risk of hypertension. Men should pay attention to the impact of body protein in hypertension risk prevention and control. The effect of body mass index should be noted when body health scores are ≥60 points, and the effect of VAI and body protein should be considered when body health scores are <60 points.

AIM To study the chemical constituents from flower buds of Magnolia biondii Pamp.and their in vitro acetylcholinesterase inhibitory activities.METHODS The 50% acetone extract from the flower buds of M.biondii was isolated and purified by Diaion HP-20,Toyopearl HW-40C,ODS and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro acetylcholinesterase inhibitory activities of these compounds were determined according to previous method established by research group.RESULTS Seventeen compounds were isolated and identified as crassifolioside(1),magnoloside B(2),rutin(3),isoquercitrin(4),quercetin(5),northalifoline(6),cordysinin B(7),thymidine(8),indazole(9),dihydrodehydrodiconiferyl alcohol(10),aesculetin(11),C-veratroylglycol(12),3,4-dihydroxyphenylethanol(13),3-methoxy-4-hydroxyphenylethanol(14),3,4-dihydroxybenzoic acid(15),2,4,6-trimethoxyphenol(16),syringic acid(17).CONCLUSION Compounds 1-17 are isolated from this plant for the first time,none of which show acetylcholinesterase inhibitory activities at the concentration of 20 μmol/L.

Objective To establish a simple model for arteriosclerosis(AS)screening to provide a viable tool for the timely identification of AS risk among residents aged 40～65 years.Methods Data were obtained from the Sleep and Chronic Diseases Program in Fuquan City.The original dataset was divided into a training subset and a validation subset(80%:20%).LASSO and logistic regression models were used to screen variables,perform multivariate regression analyses.Internal validation was performed using the Bootstrap method.Nomogram Plot was constructed,and risk score thresholds were determined based on ROC curves to classify high-risk populations.Results RS Model was established to include age,gender,napping,sleep efficiency,sleep disorders,hyperten-sion and diabetes,with AUC=74.80%and a model risk score threshold=84.20.PHC Model was established to include age,gender,napping,sleep efficiency,systolic blood pressure,fasting blood glucose,and pulse variables,with AUC=82.80%and a risk score threshold of 78.00.Decision curves showed that both models performed well in terms of calibration and actual benefits for health management.Conclusion The two AS screening models exhibit acceptable accuracy and differentiation.Therefore,it can be applied in residents'self-health management and in primary care organizations'screening work in a large scale.