Objective To understand the status of body image disturbance and its influencing factors in patients with ankylosing spondylitis (AS), so as to provide a scientific basis for the clinical management of AS. Methods A total of 353 AS patients admitted from January 2022 to December 2024 were selected as research subjects. Chinese version of Body Image Disturbance Questionnaire (BIDQ) was used to investigate the body image disturbance in AS patients. Single factor analysis was performed by t test and analysis of variance, and multiple factors were analyzed by multivariate linear regression. Results The total score of BIDQ in 342 AS patients was (25.01±4.22). Multivariate linear regression analysis results showed that self-paid medical expense, nighttime VAS score and negative emotion PANAS score could positively predict body image disturbance in AS patients (standardized regression coefficient=0.413, 0.413, 0.460, P<0.05), and PSSS score, positive emotion PANAS score and exercise management CDSSM score could negatively predict body image disturbance (standardized regression coefficient=-0.245, -0.134, -0.247, P<0.05). Conclusion The body image disturbance in AS patients is worthy of clinical attention. Nighttime pain, negative emotion and self-paid medical treatment can increase the risk of body image disturbance. Positive emotion, social support and high self-management level of exercise behavior can reduce the formation of body image disturbance, which can provide new ideas for clinical management of AS patients.

OBJECTIVE To analyze the selection and rationales of comparators for pharmaceutical enterprises in their medical insurance access application， so as to provide a reference for promoting communication and consensus between enterprises and medical insurance authorities in this process. METHODS The application materials for drugs outside the catalogue that passed formal review published by the National Healthcare Security Administration from 2021 to 2025 were extracted， and then content analysis was used to systematically sort out relevant information of the declared drugs and comparators； the specific situations and rationales of pharmaceutical enterprises’ selection of comparators were analyzed. RESULTS A total of 1 341 declared drug documents were collected. Data analysis showed that 1 035 （77.18%） were submitted with positive comparators and 306 （22.82%） used blank comparators； 58 drugs （4.33%） took combination therapy as the reference， and 5 drugs （0.37%） referred to non-pharmacological （or non-single pharmacological） treatment regimens. Among competitive drugs declared by multiple enterprises， 50.00% of the enterprises submitted different comparators. A total of 4 basic conditions and 39 additional conditions were extracted as the rationales for selecting positive comparators. For blank comparators， 12 drug-related factors， 2 administrative factors， and 1 other factor were identified. More than 10% of the drugs did not state the rationale for comparator selection， and over 44% of drugs using blank comparators provided only one justification. CONCLUSIONS Pharmaceutical enterprises mainly select comparators based on their own interests in the medical insurance access application， and there are deficiencies in the adequacy and standardization of their selection basis and reasoning. It is recommended that enterprises follow the principled requirements of medical insurance authorities， and fully and normatively explain the reasons for selecting comparators in combination with the characteristics of their own products. Meanwhile， it is advisable to change the current open-ended statement form of selection reasons into a closed-ended answering mode， so as to highlight the priority of selection， standardize the declaration behavior of enterprises， and reduce communication divergences between the two parties.

Objective: To explore the value of contrast-enhanced computed tomography (CT) radiomics combined with machine learning algorithms in the preoperative prediction of perineural invasion (PNI) in oral squamous cell carcinoma (OSCC), aiming to provide evidence for assisting clinical treatment decision-making. Methods​: This study was approved by the Ethics Committee of the Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. A total of 250 OSCC patients confirmed by postoperative pathology were included, comprising 128 PNI-positive and 122 PNI-negative cases. The dataset was randomly divided into training (n=175), validation (n=38), and independent testing (n=37) sets in a ratio of 7:1.5:1.5. Regions of interest were delineated on preoperative images, and radiomic features were extracted. After dimensionality reduction and feature selection using methods like Least Absolute Shrinkage and Selection Operator (LASSO) regression, multiple machine learning models, including support vector machine (SVM), random forest, Light gradient boosting machine (LightGBM), and a Stacking ensemble model, were constructed. Model performance was evaluated using metrics such as the area under the receiver operating characteristic curve (AUC), sensitivity, calibration curves, and decision curve analysis (DCA). Model interpretability was analyzed using Shapley additive explanations (SHAP) and grouped permutation feature importance analysis. Results ​: ​ Among the 250 samples analyzed, the LightGBM model based on radiomics demonstrated the best performance on the independent test set, with an AUC of 0.781, outperforming models like SVM (AUC = 0.730) and Random Forest (AUC = 0.691), as well as clinical models (AUCs ranging 0.549-0.711). The LightGBM model showed good calibration (Brier score 0.198), and DCA indicated high clinical net benefit over a wide threshold probability range. Paired DeLong tests revealed no statistically significant differences in AUC between the ensemble (Stacking) model and the corresponding best-performing radiomics-based model. SHAP analysis and grouped permutation feature importance analysis further indicated that the primary discriminative information for the model came from radiomic texture features. Conclusion ​ The LightGBM model based on contrast-enhanced CT radiomics demonstrated good discriminative ability for preoperative prediction of PNI in OSCC. In the independent test set, it achieved the highest AUC. This model holds promise as a non-invasive auxiliary tool for preoperative risk assessment. Given the limited sample size of the independent test set, these results require further validation in larger cohorts and external datasets.

Objective:To explore the factors associated with the efficacy of high-frequency repetitive transcranial magnetic stimulation (rTMS) in the treatment of neuropathic pain (NP) following spinal cord injury (SCI).Methods:This was a retrospective study of 89 SCI survivors with NP receiving high-frequency rTMS. Those with a ≥30% reduction in their Numeric Rating Scales (NRS) scores after 2 weeks of treatment were termed Responders ( n=36), with the others classified as non-responders ( n=53). Demographic data (gender, education level, age), SCI characteristics (injury etiology, injury severity, neurological injury level, injury duration), NP characteristics (pain type, pain intensity, analgesic use), functional assessment (Modified Ashworth Scale score, Spinal Cord Independence Measure score, Modified Barthel Index score, American Spinal Injury Association motor/sensory score) were collected. Least absolute shrinkage and selection operator (LASSO) regression was used for variable selection, followed by binary logistic regression to identify factors associated with treatment efficacy. Results:Among the 89 patients, 36 (40.4%) were Responders to high-frequency rTMS. Binary logistic regression revealed that those with a cervical spinal cord injury and/or spasticity and women were more likely to respond to high-frequency rTMS.Conclusions:Female gender, cervical spinal cord injury, and spasticity are independent factors predicting rTMS efficacy in treating SCI, with spasticity demonstrating the strongest association.

Objective:To establish a stable rat model of sequelae of pelvic inflammatory disease(SPID)with clinical characteristics,and to provide a reliable experimental model for the study of the pharmcological effect and mechanism of SPID.Methods:Twenty-four 7-week-old SD rats were divided into sham operation group,model-A(108 cfu/mL mixed bacterial solution,0.2 mL),model-B(109 cfu/mL mixed bacterial solution 0.2 mL),and model-C(108 cfu/mL E.coli 0.2 mL).The weight of the rat's uterine was weighed and the uterine index was calculated.The automatic hematology analyzer was used to detect the blood routine;hematoxylin-eosin staining(HE)and masson staining were used to detect uterine pathlogical changes in rats.Enzyme-linked immunosorbent assay(ELISA)was used to detect interleukin-1β(IL-1β),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in rat uterine tissue homogenates.Western blot was used to detect the expression of proteins related to NF-κB signaling pathway.Results:Compared with the sham operation group,the uterine index of model-A,model-B,and model-C were significantly increased(P＜0.05,P＜0.01).The levels of WBC and NE in the model-A increased significantly(P＜0.01).The level of LY in model-B decreased significantly(P＜0.01).The levels of IL-1β,TNF-α in model-A,model-B,and model-C were significantly increased(P＜0.01).The levels of IL-6 in model-A and model-B were significantly increased(P＜0.05,P＜0.01).The collagen volume fraction of model-A and model-B were significantly increased(P＜0.01).Mechanism study indicates that the expression levels of p-IKKβ/IKKβ,p-IκBα/IκBα and p-p65/p65 in model-A were significantly increased(P＜0.01),and the expression levels of IκBα/β-actin were significantly decreased(P＜0.01).The expression level of p-IKKβ/IKKβ in model-B was significantly increased(P＜0.01).Conclusions:A stable rat model of SPID that conforms to clinical characteristics can be successfully constructed by combining 0.2 mL of mixed bacterial solution with a concentration of 108 cfu/mL and mechanical injury.This modeling method intervened in the expression of the NF-κB inflammatory signaling pathway.

Objective To investigate the biological function of the proprotein convertase subtilisin/kexin type 9(PCSK9)in prostate cancer(PCa)and its effect on ferroptosis sensitivity Methods Bioinformatics was used to analyze the relationship between the expression of PCSK9 and the prognosis of prostate cancer.The expression of PCSK9 in PCa cell lines were detected using RT-qPCR.PCa cells with PCSK9 knockdown were constructed using siRNA,and the The effect of PCSK9 on cell proliferation,migration,and invasion were detected using CCK-8 assays and Transwell assays.The Cancer Therapeutics Response Portal(CTRP)was employed to investigate the correlation between PCSK9 and ferroptosis drug sensitivity,and PCa cells with PCSK9 knockdown were treated with the ferroptosis inducer(RSL3)to detect the sensitivity to ferroptosis.Results Bioinformatics showed low expression of PCSK9 had longer disease specific survival(P<0.05).The results of the in vitro experiments showed that PCSK9 knockdown significantly inhibited the proliferation,migration,and invasion of PCa cells(P<0.001).Furthermore,CTRP analysis showed that cellular sensitivity to ferroptosis inducers correlated with the expression level of PCSK9.PCSK9 knockdown cells exhibited higher sensitivity to the ferroptosis inducer RSL3.Conclusion Knockdown of PCSK9 inhibits the proliferation,migration,and invasion of PCa cells,and increases the sensitivity of cells to ferroptosis inducers.PCSK9 may provide new insights for the treatment of PCa.

Objective To investigate the effects of γ-glutamyl hydrolase(GGH)rs11545078 C＞T polymorphisms on serum concentrations,chemotherapy toxicities of methotrexate(MTX),and prognosis in children with intracranial tumors.Methods Peripheral blood samples were obtained from children with intracranial tumors to extract genome DNA.Matrix-assisted laser desorption/ionization-time of flight mass spectrometry was used to detect the genotypes of GGH rs11545078 C＞T polymorphisms.Fluorescence polarization immunoassay was employed to determine the serum concentrations of MTX.The incidences of toxicities,relapse,and metastasis were recorded after chemotherapy with MTX.The associations of GGH rs11545078 C＞T polymorphisms with concentration-to-dose ratios(C/D ratios),chemotherapy toxicities of MTX,relapse,and metastasis of tumors were analyzed.Results A total of 75 children were included in the present study.The frequencies of rs11545078 CC and CT genotypes were 82.67％and 17.33％,respectively.The frequencies of C and T alleles were 91.33％and 8.67％,respectively.There were no statistically significant differences for these frequencies among the children with intracranial tumors,the children with acute lymphoblastic leukemia,and the health population in Beijing.Children with the CC genotype had higher median C/D ratios of MTX in 24 and 42 h(25.19 and 0.14 μmol·L-1 per g·m-2,respectively),higher metastasis rates(46.77％),and lower relapse rates(17.74％)than those in CT genotype carriers(22.01 and 0.11 μmol·L-1 per g·m-2,38.46％,and 30.77％,respectively),and the differences were no statistically significant(all P＞0.05).The incidences of gastrointestinal disorders(76.92％)in children with the CT genotype were significantly higher than those in CC genotype carriers(45.16％,P＜0.05).There were no statistically significant differences in the incidences of other adverse events between patients with the CC genotype and patients with the CT genotype(all P＞0.05).Conclusion GGH rs11545078 CT might be a risk factor for gastrointestinal disorders in children with intracranial tumors treated with MTX.

BACKGROUND:Numerous studies have indicated that pyroptosis plays a key role in the progression of cancer.In recent years,research has shown that pyroptosis is inextricably linked to the occurrence,development,and treatment of breast cancer.The development of effective pyroptosis-based therapeutic strategies has become a hot topic in the field of breast cancer treatment.OBJECTIVE:To comprehensively analyze the mechanisms of pyroptosis,explore the role of pyroptosis in the anti-tumor effects in breast cancer,and its potential application value in clinical treatment.METHODS:Using English search terms"pyroptosis,breast cancer,inflammasome,gasdermin,caspase,drug resistance,treatment",PubMed database was searched for articles published from inception to August 2024.Through the preliminary screening of reading titles and abstracts,literature with poor relevance to the research content,outdated information,repeated views,and lack of authority was excluded.Finally,121 articles were included for review.RESULTS AND CONCLUSION:Pyroptosis is a special form of programmed cell death that is carried out by the activation of the gasdermin family of proteins,showing potential application value in the treatment of breast cancer.Long-term or improper treatment can lead to drug resistance in cancer cells;research on the mechanism of pyroptosis helps to overcome resistance deficiencies.Pyroptosis can trigger immunogenic cell death,promoting the release of tumor-specific antigens,thereby activating the immune system and enhancing its ability to recognize and clear tumor cells.The expression levels of pyroptosis-related genes can serve as prognostic indicators for breast cancer,helping to assess patients'treatment responses and survival periods.Research on the mechanisms of pyroptosis can provide new strategies for the treatment of breast cancer,such as targeted drugs and therapeutic methods that induce pyroptosis,contributing to the realization of personalized treatment plans for breast cancer.

Objective To investigate whether successful percutaneous coronary intervention(PCI)could improve symptoms and quality of life(QOL)in left main disease and/or 3-vessel disease patients with diabetes.Methods Patients with left main disease and/or 3-vessel disease who underwent PCI in the First Affiliated Hospital of Air Force Medical University from April 2018 to May 2021 were consecutively enrolled and subdivided into 2 groups:diabetes and no diabetes.Detailed baseline characteristics,symptoms,including dyspnea and angina,assessed with the Rose dyspnea scale(RDS),Seattle angina questionnaire(SAQ),the European quality of life-5 dimensions(EQ-5D)and 12-item short-form health survey(SF-12)questionnaire respectively,procedural details,and 1 month and 1 year follow-up data were collected.Results Among 440 left main disease and/or 3-vessel disease patients,disease was present in 176(40.00％),who had more hypertension,peripheral artery disease,and LCX lesion(all P＜0.05).The incidence of major adverse cardiovascular events(MACE)and all-cause mortality were similar between the two groups(both P＞0.05)at 1 month follow-up,while all-cause mortality in diabetes patients was significantly higher than those without diabetes at 1 year follow-up(P=0.013).Low left ventricular ejection fraction was an independent risk factor for MACE and all-cause mortality at 1 month and 1 year follow-up after successful revascularization(all P＜0.05).Most importantly,symptoms,including dyspnea and angina,and QOL were markedly improved regardless of diabetes both at 1 month and 1 year follow-up(all P＜0.05).Diabetes patients showed improved dyspnea and QOL at similar degree to the non-diabetes patients(all P＞0.05)and a more significantly relieved angina(P=0.013).Additionally,the number of chronic total occlusion(CTO)per patient was identified as an independent risk factor of dyspnea(OR 0.723,95％CI 0.525～0.997,P=0.048)and angina relief(OR 0.686,95％CI 0.473～0.995,P=0.047),and the contrast volume(OR 0.995,95％CI 0.992～0.999,P=0.008)as an independent risk factor of QOL improvement in diabetic patients.Conclusions Successful PCI is beneficial for relieving symptoms and improving quality of life in patients with diabetes who have left main disease and/or 3-vessel disease.

To evaluate the therapeutic effect of baicalein topical preparation on atopic dermatitis, we first constructed two atopic dermatitis-like mouse models induced by calcipotriol and 1-fluoro-2,4-dinitrobenzene to assess their therapeutic effect with skin tissue staining and other experiments. It was found that topical preparation of baicalein could alleviate epidermal thickening of diseased skin tissues, repair damaged skin barrier proteins, and inhibit T helper 2 cells (Th2) infiltration and mast cell infiltration and activation in lesional sites. Cyberpharmacology was utilized to analyze whether baicalein could treat atopic dermatitis by interfering with multiple pathogenesis-associated pathways. Results indicated that baicalein reduced the mRNA levels of inflammatory factors and inhibited the phosphorylation of NF-κB p65 and STAT1 proteins in keratinocyte cells. Together, the topical preparation of baicalein may be effective in alleviating atopic dermatitis-like symptoms in mice by down-regulating the phosphorylation level of NF-κB in keratinocytes, thereby decreasing the expression of inflammatory factors in keratinocytes, which provides an idea and a theoretical basis for the topical preparation of baicalein for the treatment of inflammatory skin diseases such as atopic dermatitis.