ObjectiveTo develop and preliminarily validate a prediction model for brace treatment failure risk in patients with adolescent idiopathic scoliosis (AIS), based on information obtained before brace treatment and during initial brace fitting. MethodsA total of 191 patients with AIS who initiated thoracolumbosacral orthosis treatment at Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from March, 2015 to August, 2024 and had determinable outcomes were retrospectively included. Patients were divided according to a prespecified scheme into a training set (n = 133) and a validation set (n = 58). Brace treatment failure was defined as progression of the major-curve Cobb angle by ≥ 5° from baseline during follow-up or at brace weaning, or a final major-curve Cobb angle > 45°. Logistic regression, random forest, support vector machine with radial basis function kernel, and extreme gradient boosting (XGBoost) models were developed using routinely available clinical and radiographic variables before brace treatment and during initial brace fitting. Stratified five-fold cross-validation was used for hyperparameter tuning in the training set. Model performance was evaluated in the validation set using the area under the receiver operating characteristic curve (AUC), area under the precision-recall curve (AUPRC), Brier score, calibration curves, and decision curve analysis (DCA). SHapley Additive exPlanations (SHAP) was used to interpret the main explanatory model. ResultsIn cross-validation of the training set, both random forest and XGBoost showed good discriminative performance, with cross-validation-AUC values of 0.871 and 0.880, respectively. In the validation set, the AUC values of random forest and XGBoost were 0.888 and 0.899, the AUPRC values were 0.678 and 0.830, and the Brier scores were 0.086 and 0.076, respectively. Random forest was selected as the primary model for interpretation, with a calibration intercept of 0.091 and a calibration slope of 0.995. SHAP analysis indicated that the in-brace correction rate and the major-curve Cobb angle measured in the brace contributed most to the model predictions. ConclusionThe random forest model developed using routinely available pretreatment and initial-fitting variables shows preliminary predictive value for brace treatment failure risk in AIS, and may provide quantitative support for follow-up scheduling, brace-fit reassessment and early adherence-oriented management.

Objective Based on the intervention map to develop a comprehensive nutrition education program for pancreaticoduodenectomy patients and to explore the effect of its clinical application,aiming at providing references for clinical nursing practice.Methods A convenience sampling method was used to select 76 patients who were to undergo pancreaticoduodenectomy in the department of hepatobiliary and pancreatic surgery of a tertiary hospital in Anhui Province as the study subjects.The 38 patients admitted from October 2021 to September 2022 were in a control group,and the 38 patients admitted from October 2022 to July 2023 were in an experimental group.The experimental group received the comprehensive nutritional education programme constructed in this study,and the control group used conventional nutrition health education measures,and the length of intervention for both groups was from pre-hospitalization to discharge for 6 months.Nutrition-related indicators,postoperative complications,hospitalisation time,hospitalisation costs and satisfaction were compared between the 2 groups.Results A total of 64 patients completed this study,with 33 in the experimental group and 31 in the control group.Repeated measurement analysis of variance showed that the interaction effects of BMI,total serum protein and serum preprotein were statistically significant(P＜0.05).The incidence of complications,hospitalization days and hospitalization costs of the experimental group were lower than those of the control group(P＜0.05).The scores of nutrition education-related satisfaction in the experimental group were higher than those in the control group(P＜0.001).Conclusion A comprehensive nutritional education program based on intervention map can improve the nutritional status of pancreaticoduodenectomy patients to a certain extent,reduce the occurrence of complications,and promote patients'recovery.

Objective To explore the correlation of neutrophil/lymphocyte ratio(NLR),monocyte/high density lipoprotein cholesterol ratio(MHR)and mild cognitive impairment(MCI)in patients with type 2 diabetes mellitus(T2DM).Methods 159 T2DM patients hospitalized in the Department of Endocrinology,Affiliated Hospital of Xuzhou Medical University from February 2023 to April 2023 were selected.The subjects were divided into normal cognitive function(Con,n=72)group and MCI group(n=87)based on score of Montreal cognitive assessment scale(MoCA).NLR and MHR were calculated and compared between the two groups.Spearman correlation analysis was used to analyze the correlation between NLR,MHR and MoCA score.Logistic regression analysis of the factors influencing the association between T2DM with MCI.Receiver operator characteristic(ROC)curve was used to evaluate the predictive value of NLR and MHR for DM complicated with MCI.Results Compared with Con group,MCI group showed a significant increase in hemoglobin A1c(HbA1c),fasting plasma glucose,NLR,MHR,neutrophil count,monocyte count,serum creatinine,cystatin C,while high density lipoprotein cholesterol lymphocytes,visual space and executive function,naming,attention,language ability,abstract thinking,delayed memory,orientation and MoCA score decreased(P＜0.05).Spearman correlation analysis showed that there was a negative correlation between MHR,NLR and MoCA score,visuospatial and executive function,delayed recall and attention.Logistic regression analysis showed that NLR,MHR,HbA1c were all risk factors for MCI in T2DM.ROC curve analysis showed that the area under the curve of NLR combined with MHR for diagnosing T2DM with MCI was 0.872,with corresponding sensitivity of 81.6%and specificity of 87.5%.Conclusions NLR and MHR are closely related to MCI in T2DM patients.The combination of NLR and MHR have certain efficacy in prediction T2DM with MCI.

OBJECTIVE: Aloin, the main active component in Aloe vera (L.) Burm. f., has shown promising anti-tumor effects. This study investigated the impact of aloin in lung squamous cell carcinoma (LUSC) and explored its functional mechanism. METHODS: We analyzed the viability, migration, invasion, proliferation, and apoptosis of two LUSC cell lines after treatment with aloin. Target molecules of aloin and downstream target transcripts of nuclear receptor subfamily 3 group C member 2 (NR3C2) were predicted by bioinformatics. The biological functions of NR3C2 and metallothionein 1 M (MT1M) in the malignant properties of LUSC cells were determined. A co-culture system of LUSC cells with monocyte-derived macrophages was constructed. Mouse xenograft tumor models were generated to analyze the functions of aloin and NR3C2 in the tumorigenic activity of LUSC cells and macrophage polarization in vivo. RESULTS: Aloin suppressed malignant properties of LUSC cells in vitro. However, these effects were negated by the silencing of NR3C2. NR3C2 was found to activate MT1M transcription by binding to its promoter. Additional upregulation of MT1M suppressed the malignant behavior of LUSC cells augmented by NR3C2 silencing. Analysis of the M1 and M2 markers/cytokines in the macrophages or the culture supernatant revealed that aloin treatment or MT1M overexpression in LUSC cells enhanced M1 polarization while suppressing M2 polarization of macrophages, whereas NR3C2 silencing led to reverse trends. Consistent findings were reproduced in vivo. CONCLUSION This study demonstrated that aloin activates the NR3C2/MT1M axis to suppress the malignant behavior of LUSC cells and M2 macrophage polarization. Please cite this article as: Chen YN, Lu JY, Gao CF, Fang ZR, Zhou Y. Aloin blocks the malignant behavior of lung squamous cell carcinoma cells and M2 macrophage polarization by modulating the NR3C2/MT1M axis. J Integr Med. 2025; 23(2): 195-208.
Lung Neoplasms/metabolism* ; Humans ; Animals ; Cell Line, Tumor ; Carcinoma, Squamous Cell/metabolism* ; Mice ; Macrophages/drug effects* ; Emodin/analogs & derivatives* ; Metallothionein/genetics* ; Cell Proliferation/drug effects* ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Receptors, Glucocorticoid/genetics*

Aim To investigate the regulatory mecha-nisms of donepezil on the expression and enzymatic ac-tivity of cytochrome P450 3A4(CYP3A4),elucidate the synergistic impact of hypoxia on CYP3A4 function,and reveal its potential association with drug-induced cardiotoxicity,particularly QT interval prolongation.Methods Western blot,co-immunoprecipitation,and gene knockdown techniques were employed to evaluate the effects of donepezil and hypoxia on CYP3A4 pro-tein expression.CYP3A4 enzymatic activity was as-sessed using an in vitro incubation system with rat liver microsomes combined with high-performance liquid chromatography(HPLC),and the half-maximal inhib-itory concentration(IC50)was determined.Results Donepezil(10 μmol·L-1)and hypoxia reduced CYP3A4 protein expression to 31.75％and 45.90％of the control levels,respectively.Both interventions activated the gp78-mediated ubiquitin-proteasome path-way,significantly increasing CYP3A4 ubiquitination levels by 2.1-fold compared to the control group,thereby promoting proteasomal degradation.Donepezil inhibited CYP3A4 enzyme activity with an IC50 of 83.4μmol·L-1,and hypoxia synergistically enhanced this inhibitory effect,reducing the IC50 to 20.79 μmol·L-1.Conclusion Donepezil downregulates CYP3A4 function through dual mechanisms involving ubiquitin-mediated proteasomal degradation and direct enzymatic inhibition.Hypoxia potentiates this effect,leading to impaired metabolism of CYP3A4 substrate drugs,ele-vated plasma drug concentrations(1.6-2.3-fold in-crease compared to normal metabolic conditions),and an increased risk of QT interval prolongation and other forms of cardiotoxicity.

Case report form(CRF)is an important tool to obtain clinical research data.Scientifically designed and properly recorded CRF is of great significance to improve the quality of clinical research.The author summarized the common problems existing in the design and recording of CRF in traditional Chinese medicine(TCM)clinical studies,including:①Delayed design time point.②Unstandardized CRF design,recording and modification.③Imperfect records of combined medication/therapy.④Insufficient quantification of syndrome efficacy indicators and objectification of tongue and pulse.⑤ Insufficient protection of subjects' privacy.⑥ Unstandardized records of adverse events.Accordingly,this paper discusses some solutions to provide reference for other TCM researchers,including:①Advance CRF design time.②Standardize CRF design,recording and modification.③Design drug combinations/therapies according to Clinical Data Acquisition Standards Harmonization(CDASH).④Standardization of syndrome and tongue and pulse.⑤Use of subject identification codes to protect privacy.⑥AE records should vary from study to study.

Objective:To investigate the correlation between platelet alloantibodies and CD8+T cell with platelet desialylation and apoptosis in platelet transfusion refractoriness(PTR).Methods:The expression of RCA-1,CD62P and Neu1 on platelets were detected in 135 PTR patients and 260 healthy controls.The ability of PTR patients'sera with anti-HLA antibody,anti-CD36 antibody and antibody-negative groups to induce platelet desialylation and apoptosis,and the potential effect of FcγR inhibitors on desialylation and apoptosis were evaluated.Additionally,the association between CD8+T cells and platelet desialylation in patients was analyzed.Results:The expression of RCA-1 and Neu1 on platelets in PTR patients were significantly higher than those in healthy donors(P＜0.05),but were not related to platelet alloantibody(P＞0.05).The sera of PTR patients generally induced platelet desialylation in vitro(P＜0.05),with no significant differences among the groups(P＞0.05).However,the sera with anti-CD36 antibodies could induce platelet apoptosis significantly higher than that in the anti-HLA antibody group and antibody-negative group in vitro(P＜0.05).In PTR patients with anti-CD36 antibodies,platelet apoptosis was dependent on FcγR signaling,while desialylation is not.Moreover,CD8+T cells in PTR patients were significantly associated with platelet desialylation(P＜0.05).Conclusion:Platelet desialylation is a common pathological phenomenon in PTR patients,which involves the participation of CD8+T cell,but isn't associated with platelet alloantibody;while anti-CD36 antibodies have potential clinical significance in predicting platelet apoptosis in PTR patients.

Objective:To investigate the predictive value of morphology,immunology,and cytogenetics for isocitrate dehydrogenase 1 and 2(IDH1/2)gene mutation in newly diagnosed acute myeloid leukemia(AML)patients.Methods:The clinical data of 186 newly diagnosed AML patients(except M3 subtype)in the First People's Hospital of Changzhou were retrospectively analyzed,and the variables associated with IDH1/2 mutation in patients were screened using LASSO regression to construct a multivariate logistic regression analysis model.The Bootstrap method was used for internal validation of the model and nomograms were used to visualize the model,and receiver operating characteristic(ROC)curve was used to evaluate the predictive performance of the model.Results:A total of 60 AML patients had IDH1/2 mutation at initial diagnosis.LASSO regression screened 9 predictive variables associated with IDH1/2 mutation,including CD7,CD56,CD11b,CD15,CD64,HLA-DR,platelet count ≥ 50 × 109/L,isolated+8 and normal karyotype.The nomogram and ROC curve were plotted based on the above 9 variables.The area under the ROC curve(AUC)of the training set and the validation set were 0.871 and 0.806,respectively.Internal validation showed that the nomogram had good predictive ability.Conclusion:The prediction model based on MIC typing constructed in this study has a good predictive ability for the presence of IDH1/2 mutations in newly diagnosed AML patients and has important clinical application value when the gene mutation detection results are unavailable.

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 examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.