ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Objective By analyzing the main factors affecting the average length of stay through deep neural networks,redundant factors are eliminated to improve the management effectiveness of the average length of stay.Methods Based on prin-cipal component analysis in machine learning,the multi factor features of average length of hospital stay are reduced and the main factors are extracted.Then,deep neural networks are used to learn the weight relationships between the main factors and predict the actual average length of hospital stay.The data used in this article comes from the homepage of 131 740 inpatient medical re-cords in the HIS system of a tertiary hospital in 2021.Results The main influencing factors of the average length of stay in the hospital in 2021 are preoperative average length of stay,transfusion reactions,admission year,age,admission route,and medical payment method.The corresponding absolute weight values are 2.58,1.89,1.77,0.96,0.76,and 0.75,respectively;The t-test compared and analyzed the predicted average length of stay with the actual average length of stay,and the results showed that there was no significant difference between the two(P＞0.05).Conclusion The DNN model based on the main factors can ef-fectively predict the actual average length of stay,and the hospital's classification of the main influencing factors of the average length of stay obtained in this article can effectively improve the management efficiency of the average length of stay.

Objective To investigate the clinical characteristics of women with abnormal uterine bleeding(AUB)in sub-plateau regions and analyze the factors affecting their treatment methods.Methods AUB patients who were hospitalized from Jan 1,2018 to Dec 31,2022,in a sub-plateau region(Yongping County People's Hospital of Yunnan Province)with an average altitude of 1 620 meters were selected.The general clinical characteristics of the patients were summarized,and patients were classified into two categories(with or without uterine structural lesion)and nine subtypes(PALM-COEIN)according to the FIGO recommended etiological classification guidelines.Then the patients were divided into groups based on the presence or absence of uterine structural lesions,ethnic group(Han and minority),conservative drug treatment and surgical treatment groups,blood transfusion and non-blood transfusion groups.Binary Logistic regression analysis was used to identify factors affecting treatment methods.Results A total of 481 AUB patients enrolled,and the delayed consultation rate was as high as 80.46%,and the proportion of overweight and obese patients was 49.90%,which was higher than the average level among Chinese women.The main cause was AUB-O(AUB-ovulatory dysfunction),accounting for 78.59%of cases,the proportion of patients with delayed medical treatment was higher than those without delayed medical treatment(82.17%vs.74.47%).Patients who received blood transfusion were significantly younger,had lower hemoglobin(HGB)levels,fewer pregnancies,and lower BMI compared to those in the non-blood transfusion group(P<0.05).Univariate analysis showed that the surgical treatment group had older age,longer onset time,higher HGB levels,more pregnancies and deliveries,higher BMI,a higher proportion of Han ethnicity patients,lower rates of non-blood transfusion,higher rates of hypertension,and more uterine structural lesions compared to the conservative drug treatment group.Multivariate regression analysis revealed that blood transfusion treatment reduced the probability of surgical treatment.Age and uterine structural lesions were risk factors for requiring surgical treatment,for each additional year of age,the risk of undergoing surgical treatment increased by 10%.The risk of requiring surgical treatment for patients with uterine structural lesions was 2.987 times higher than for those without.Conclusion AUB patients in this sub-plateau regions have a high rate of delayed consultation and a high proportion of overweight and obesity,with AUB-O being the primary cause.Older age and the presence of uterine structural lesions were risk factors for requiring surgical treatment.

Purpose To investigate the clinicopathological characteristics of the gastric oxyntic gland adenoma(GOGA).Methods We collected 18 samples of GOGA,histopathological features and immunohistochemical staining were assessed.Main features of pathological diagnosis,treatment methods and follow-up were retrospectively analyzed.Results There were 18 patients,including 9 females and 9 males,aged from 36 to 86 years old.The endoscopic im-age showed a flat lesion with whitish in color or a polypoid protrusions.The size ranged from 0.3 cm to 0.8 cm.Hema-toxylin and eosin staining showed irregular glandular structures in the mucosal lamina propria,with branched and anas-tomosed patterns.The tumour demonstrating composed of chief cells hyperplasia with mild nuclear atypia.All lesions were confined to the mucous lamina propria.There was no atrophic within the peripheral gastic mucosa.Immunohisto-chemical examination showed positive for Pepsinogen-Ⅰ and MUC6.Gene mutation were analyzed in 2 cases using next generation sequence technology,and no KRAS and GNAS mutation had been detected.Endoscopic surgical treatment was performed in 11 cases,and biopsy forceps removal was carried out in 7 cases.No recurrence or metastasis was ob-served during the follow-up period of 1 to 58 months.Conclusion GOGA is a rare lesion,and appears to behave bio-logically benign.A full understanding of its histological morphology and biological behavior can improve the diagnostic ability of clinincans,and facilitate further research in the future.

Objective To investigate the association of spleen volume with the risk of non-alcoholic fatty liver disease(NAFLD)as well as their causal relationship.Methods We included 90 NAFLD cases and 47 healthy controls who had received contrast-enhanced computed tomography(CT)scan of the abdomen at the Second Affiliated Hospital of Xi'an Jiaotong University from November 2022 to November 2023.We conducted three-dimensional reconstruction of the spleen through a deep learning network model using a two-stage coarse-to-fine segmentation approach.We compared the two groups using the two-sample t test or Mann-Whitney U test for continuous data and using the chi-square test for categorical data;evaluated the correlation between spleen volume and liver function indicators through Pearson correlation or Spearman rank correlation analyses;determined the factors influencing the development of NAFLD through multivariable Logistic regression analysis;and further assessed the casual relationship between spleen volume and NAFLD using the inverse variance-weighted two-sample Mendelian randomization(IVW-MR)method.Results Spleen volume was significantly larger in NAFLD cases than in controls(272.93±104.16 vs 204.37±81.20 cm3,P<0.001).The Spearman rank correlation analysis showed that spleen volume was positively correlated with the hepatic steatosis index(rs=0.422,P<0.001)and gamma-glutamyl transferase levels(rs=0.211,P=0.047)in patients with NAFLD.The multivariable Logistic regression analysis indicated that spleen volume was an independent risk factor for the development of NAFLD(odds ratio[OR]=1.01,95%confidence interval[CI]:1.00-1.02,P=0.049).The IVW-MR analysis detected a causal relationship between spleen volume and NAFLD(OR=1.16,95%CI:1.05-1.28,P=0.005).Conclusion Increased spleen volume may be a risk factor for the development and progression of NAFLD.Further studies are still needed to investigate the specific mechanism.

Objective:To develop the Body Image Flexibility Questionnaire for Middle School Students(BIFQ-MS)and test its validity and reliability.Methods:Firstly,the initial questionnaire was developed based on the hexaflex model of psychological flexibility.Secondly,701 middle school students were selected to complete the initial questionnaire for item analysis and exploratory factor analysis.Thirdly,899 middle school students were ex-amined to conduct confirmatory factor analysis,criterion-related validity and internal consistency tests on the formal questionnaire.The Body Image-Acceptance and Action Questionnaire(BI-AAQ),Avoidance and Fusion Question-naire for Youth(AFQ-Y8),Body Areas Satisfaction Scale(BASS),and General Appearance subscale of the Nega-tive Physical Self Scale(NPSS-GA)were used to test criterion validity.In addition,88 middle school students were retested 4 weeks later.Results:The BIFQ-MS consisted of 26 items,including 4 factors(openness to experience,self-as-context,contact with the present moment,and valued action),which explained 65.55％of the total vari-ance.Confirmatory factor analysis showed that the four-factor structural model fitted well(x2/df=2.26,CFI=0.97,TLI=0.97,RMSEA=0.04,SRMR=0.03).The BIFQ-MS total scores and the scores of each factor were positively correlated with the scores of the BI-AAQ and the BASS(r=0.41-0.50,Ps＜0.01),whereas they were negatively correlated with the scores of the NPSS-GA and the AFQ-Y8(r=-0.28--0.58,Ps＜0.01).The Cronbach's α coefficients of the total questionnaire and the 4 factors ranged from 0.91 to 0.97,and the test-retest reliabilities(ICC)ranged from 0.70 to 0.86.Conclusion:The Body Image Flexibility Questionnaire for Middle School Students is a reliable tool for understanding body image flexibility in adolescents.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To investigate the therapeutic efficacy of inspiratory muscle training(IMT)combined with external diaphragm pacing(EDP)in elderly patients with chronic heart failure(CHF).Methods 147 patients with CHF admitted to the Department of Cardiology of the Second Affiliated Hospital of Xi'an Jiaotong University from March 2024 to October 2024 were selected,of which 38 patients were in the conventional drug therapy group(standard care group),52 patients were in the conventional drug therapy+EDP therapy(dual therapy group),and 57 patients were in the conventional drug therapy+EDP therapy+IMT therapy(triple therapy group).Com-parative analyses were performed for maximum inspiratory pressure(MIP),maximum expiratory pressure(MEP),handgrip strength,6-minute walk distance(6MWD),modified Medical Research Council(mMRC)scores,resting heart rate,and blood pressure before treatment and 4 weeks post-intervention.Results After treatment,The dual therapy group demonstrated higher MIP,6MWD,and lower mMRC scores than the standard care group(P<0.05).The triple therapy group exhibited superior improvements in MIP,MEP,handgrip strength,6MWD,and lower mMRC scores compared to both standard care and dual therapy groups(P<0.05),with additional benefits including lower resting systolic blood pressure versus dual therapy group(P<0.05)and reduced resting heart rate compared to standard care group(P<0.05).Conclusion The combined IMT and EDP significantly enhances respiratory and upper limb muscle strength in CHF patients,effectively improves cardiopulmonary function,alleviates dys-pnea,and reduces resting heart rate and blood pressure,thus improving the quality of life.It is worthy of clinical promotion and application.

Objective:To explore the independent association between handgrip strength and chronic kidney disease (CKD) in adult residents in Anhui Province using data from the China Adult Chronic Disease and Risk Factor Surveillance (2023).Methods:A multi-stage stratified cluster random sampling method was used to select residents aged ≥18 years for surveys, physical measurements, and laboratory tests. Relevant covariates were adjusted, and a multivariable logistic regression model was established to infer the association between handgrip strength and CKD, followed by subgroup analysis.Results:A total of 7 295 participants were included in the study, with age of (61.5±13.2) years, and 55.6% of the study participants were women. The results of the multivariate logistic regression analysis showed that with each 1.0 kg increase in handgrip strength, the risk for CKD decreased by 1.3% ( OR=0.987, 95% CI: 0.978-0.997). Compared with those with low handgrip strength, the people with moderate hasdgrip strength ( OR=0.818, 95% CI: 0.694-0.964) and high handgrip strength ( OR=0.729, 95% CI: 0.598-0.989) had lower risk for CKD. In the subgroup analysis, the association between handgrip strength and risk for CKD remained unchanged regardless age, sex, smoking status, and alcohol consumption statuys, and the prevalence of hypertension and hyperlipidemia (interaction P>0.05), except BMI and diabetes. Conclusion:The decline in handgrip strength is associated with an increased risk for CKD in adult residents in Anhui.