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 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 evaluate the efficacy of two different approaches:direct anterior approach(DAA)and posterolateral approach(PLA)in total hip arthroplasty(THA).Methods:This study adopted a retrospective cohort study design,included to analyse 128 cases of THA patients who were received in our hospital from January 2021 to January 2024.Patients were divided into PLA group(n=61)and DAA group(n=67)according to different approach methods.Perioperative indicators,Harris hip joint function score,anteversion and abduction angles of acetabular prosthesis and incidence of complications were compared between the two groups.Results:Compared with PLA group,DAA group had longer surgical time,less intraoperative blood loss,shorter surgical incision length and shorter postoperative hospital stay(P＜0.05).Compared with the PLA group at 1 month(T2)to 6 months(T4)after surgery,DAA group had higher Harris hip joint function score(P＜0.05).Conclusion:Compared with PLA,DDA is used in THA,although the surgery time is longer,it can achieve a similar recovery effect in anteversion and abduction angles,which helps to shorten the surgical incision length and postoperative hospital stay,reduce intraoperative blood loss and achieve better hip joint function recovery.

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 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.

Objective:To evaluate the efficacy of two different approaches:direct anterior approach(DAA)and posterolateral approach(PLA)in total hip arthroplasty(THA).Methods:This study adopted a retrospective cohort study design,included to analyse 128 cases of THA patients who were received in our hospital from January 2021 to January 2024.Patients were divided into PLA group(n=61)and DAA group(n=67)according to different approach methods.Perioperative indicators,Harris hip joint function score,anteversion and abduction angles of acetabular prosthesis and incidence of complications were compared between the two groups.Results:Compared with PLA group,DAA group had longer surgical time,less intraoperative blood loss,shorter surgical incision length and shorter postoperative hospital stay(P＜0.05).Compared with the PLA group at 1 month(T2)to 6 months(T4)after surgery,DAA group had higher Harris hip joint function score(P＜0.05).Conclusion:Compared with PLA,DDA is used in THA,although the surgery time is longer,it can achieve a similar recovery effect in anteversion and abduction angles,which helps to shorten the surgical incision length and postoperative hospital stay,reduce intraoperative blood loss and achieve better hip joint function recovery.

Objective To develop a fused model based on combined intratumor-peritumor radiomics features and clinical risk factors to accurately predict the efficacy of radiotherapy for hepatocellular carcinoma(HCC).Methods A retrospective study was conducted on 124 HCC patients(95 males and 29 females)undergoing IMRT at the radiotherapy center of some hospital,who were divided into a training set and a validation set in a 7∶3 ratio.According to relevant standards for evaluating solid tumor treatment efficacy the patients at the progressive disease phase were enrolled into a non-response group,and the ones at the phases of complete response,partial response and stable disease were included into a response group.Firstly,radiomics features were extracted from pre-radiotherapy contrast-enhanced CT images,and were screened with the least absolute shrinkage and selection operator(LASSO)regression to obtain valuable radiomics features;secondly,the scores of intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features underwent binary Logistic regression(LR)analysis by using the glmnet package in R software(version 4.2.0),so as to construct three models for intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features;finally,a fused model was established based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors,and the corresponding Nomogram,calibration curve and clinical decision curve were plotted.R software(version 4.4.1)was used for image analysis and statistical analysis.Results The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors achieved an AUC of 0.87 on both the training and validation sets,outperforming the models based solely on intratumor radiomics features,peritumor radiomics features or combined intratumor-peritumor radiomics features.The Nomogram plot showed the prediction probability of the fused model for the short-term treatment response rate was 10%-90%within the total score range of 42-93 points,and the calibration and clinical decision curves indicated that the fused model gained advantages in prediction and clinical application.Conclusion The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors predicts the short-term efficacy of HCC radiotherapy effectively,providing references for formulating radiotherapy plans and guiding subsequent treatment decisions.

Objective To develop a fused model based on combined intratumor-peritumor radiomics features and clinical risk factors to accurately predict the efficacy of radiotherapy for hepatocellular carcinoma(HCC).Methods A retrospective study was conducted on 124 HCC patients(95 males and 29 females)undergoing IMRT at the radiotherapy center of some hospital,who were divided into a training set and a validation set in a 7∶3 ratio.According to relevant standards for evaluating solid tumor treatment efficacy the patients at the progressive disease phase were enrolled into a non-response group,and the ones at the phases of complete response,partial response and stable disease were included into a response group.Firstly,radiomics features were extracted from pre-radiotherapy contrast-enhanced CT images,and were screened with the least absolute shrinkage and selection operator(LASSO)regression to obtain valuable radiomics features;secondly,the scores of intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features underwent binary Logistic regression(LR)analysis by using the glmnet package in R software(version 4.2.0),so as to construct three models for intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features;finally,a fused model was established based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors,and the corresponding Nomogram,calibration curve and clinical decision curve were plotted.R software(version 4.4.1)was used for image analysis and statistical analysis.Results The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors achieved an AUC of 0.87 on both the training and validation sets,outperforming the models based solely on intratumor radiomics features,peritumor radiomics features or combined intratumor-peritumor radiomics features.The Nomogram plot showed the prediction probability of the fused model for the short-term treatment response rate was 10%-90%within the total score range of 42-93 points,and the calibration and clinical decision curves indicated that the fused model gained advantages in prediction and clinical application.Conclusion The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors predicts the short-term efficacy of HCC radiotherapy effectively,providing references for formulating radiotherapy plans and guiding subsequent treatment decisions.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.