Objective To construct a support vector machine(SVM)model based on magnetic res-onance imaging(MRI)T2WI turbo inversion recovery magnitude(TIRM)and diffusion-weighted imaging(DWI)sequences,and evaluate its predictive performance for expression levels of human epidermal growth factor receptor-2(HER-2)and hormone receptor(HR)in breast cancer.Methods A total of 128 breast cancer lesions underwent breast MRI before surgery or treatment were collected,and were grouped according to immunohistochemical(IHC)method or in situ fluorescence hybridization(FISH)results.ITK-SNAP software was used to outline the three-dimensional volume region of interest(VOI)on magnetic resonance TIRM and DWI sequence images,and Pyradiomics program was introduced to extract the image omics features.After normalization of the data,a recursive feature elimination method based on support vector machine-recursive feature elimination(SVM-RFE)was used to filter the features.A total of 108 cases were divided into training group and verification group according to 8:2 ratio by random stratified sampling method,and the other 20 cases were used as external test group.SVM machine learning classifier was used to construct the image omics model.Receiver op-erating characteristic(ROC)curve was used to evaluate the prediction efficiency of the model.De-Long test was used to evaluate the area under the curve(AUC)of each image omics model.SHAP algorithm was used for visual analysis,and the most contributing prediction features were screened.Results The prediction efficiency of the combined model(training group AUC=0.94,verification group AUC=0.90)for HER-2 was higher than that of TIRM model(training group AUC=0.85,veri-fication group AUC=0.80)and single DWI model(training group AUC=0.88,verification group AUC=0.66).The AUC of combined model in the external test group was 0.89.The feature contri-bution of DWI sequence obtained by SHAP algorithm was great.The image omics model based on the combination of TIRM and DWI sequence features(training group AUC=0.96,verification group AUC=0.88)and the single DWI sequence features(training group AUC=0.92,verification group AUC=0.86)was better than the model based on the single TIRM sequence features(training group AUC=0.84,verification group AUC=0.68)in HR prediction.The external test group proved that the combined model had good predictive efficiency,with an AUC of 0.90.The feature contribution of TIRM sequence obtained by SHAP algorithm was great.Conclusion The imaging omics model con-structed based on the combined features of TIRM and DWI sequences in magnetic resonance imaging has good predictive efficacy for HER-2 level,and has great potential in predicting HR expression,which can provide a basis for the formulation of personalized treatment for breast cancer patients.

Objective To construct a support vector machine(SVM)model based on magnetic res-onance imaging(MRI)T2WI turbo inversion recovery magnitude(TIRM)and diffusion-weighted imaging(DWI)sequences,and evaluate its predictive performance for expression levels of human epidermal growth factor receptor-2(HER-2)and hormone receptor(HR)in breast cancer.Methods A total of 128 breast cancer lesions underwent breast MRI before surgery or treatment were collected,and were grouped according to immunohistochemical(IHC)method or in situ fluorescence hybridization(FISH)results.ITK-SNAP software was used to outline the three-dimensional volume region of interest(VOI)on magnetic resonance TIRM and DWI sequence images,and Pyradiomics program was introduced to extract the image omics features.After normalization of the data,a recursive feature elimination method based on support vector machine-recursive feature elimination(SVM-RFE)was used to filter the features.A total of 108 cases were divided into training group and verification group according to 8:2 ratio by random stratified sampling method,and the other 20 cases were used as external test group.SVM machine learning classifier was used to construct the image omics model.Receiver op-erating characteristic(ROC)curve was used to evaluate the prediction efficiency of the model.De-Long test was used to evaluate the area under the curve(AUC)of each image omics model.SHAP algorithm was used for visual analysis,and the most contributing prediction features were screened.Results The prediction efficiency of the combined model(training group AUC=0.94,verification group AUC=0.90)for HER-2 was higher than that of TIRM model(training group AUC=0.85,veri-fication group AUC=0.80)and single DWI model(training group AUC=0.88,verification group AUC=0.66).The AUC of combined model in the external test group was 0.89.The feature contri-bution of DWI sequence obtained by SHAP algorithm was great.The image omics model based on the combination of TIRM and DWI sequence features(training group AUC=0.96,verification group AUC=0.88)and the single DWI sequence features(training group AUC=0.92,verification group AUC=0.86)was better than the model based on the single TIRM sequence features(training group AUC=0.84,verification group AUC=0.68)in HR prediction.The external test group proved that the combined model had good predictive efficiency,with an AUC of 0.90.The feature contribution of TIRM sequence obtained by SHAP algorithm was great.Conclusion The imaging omics model con-structed based on the combined features of TIRM and DWI sequences in magnetic resonance imaging has good predictive efficacy for HER-2 level,and has great potential in predicting HR expression,which can provide a basis for the formulation of personalized treatment for breast cancer patients.

Coronary heart disease is a chronic and lifelong disease， which places a dual burden on the physiological and psychological well-being of patients， and can easily lead to psychological distress and affect their prognosis and quality of life. This article provides a systematic review， in which the current status， evaluation tools， influencing factors and intervention methods of psychological distress in patients with coronary heart disease are explored， aiming to provide key information beneficial for identifying and preventing psychological distress， and to improve the overall management and treatment effectiveness of coronary heart disease patients. In this paper， 18 articles were included， and the demographic， physiological， psychological and social factors affecting the psychological distress of patients with coronary heart disease were systematically analyzed， thus to provide a deeper understanding of psychological distress and offering references for formulating targeted intervention strategies.

OBJECTIVES: Ulcerative colitis (UC) is a type of inflammatory bowel disease (IBD) mainly characterized by inflammation, ulceration and erosion of colonic mucosa and submucosa. Transient receptor potential vanilloid 1 (TRPV1) is an important mediator of visceral pain and inflammatory bowel disease. This study aims to investigate the protective effect of water soluble propolis (WSP) on UC colon inflammatory tissue and the role of TRPV1. METHODS: Male SD rats were randomly divided into 6 groups (n=8): a normal control (NC) group, an ulcerative colitis model (UC) group, a low-WSP (L-WSP) group, a medium-WSP (M-WSP) group, a high-WSP (H-WSP) group, and a salazosulfapyridine (SASP) group. The rats in the NC group drank water freely, and the other groups drank 4% dextran sulfate sodium (DSS) solution freely for 7 d to replicate the ulcerative colitis model. Based on the successful replication of the UC, the L-WSP, M-WSP, and H-WSP groups were given 50, 100, and 200 mg/kg of water-soluble propolis by gavage for 7 d, and the SASP group was given 100 mg/kg of sulfasalazine by gavage for 7 d. The body weight of rats in each group was measured at the same time every day, the fecal traits and occult blood were observed to record the disease activity index (DAI). After intragastric administration, the animals were sacrificed after fasted 24 h. Serum and colonic tissue were collected, and the changes of MDA, IL-6 and TNF-α were detected. The pathological changes of colon tissues were observed by HE staining, and the expression of TRPV1 in colon tissues was observed by Western blotting, immunohistochemistry, and immunofluorescence. RESULTS: The animals in each group that drank DSS freely showed symptoms such as weight loss, decreased appetite, depressed state, and hematochezia, indicating that the model was successfully established. Compared with the NC group, DAI scores of other groups were increased (all P<0.05). MDA, IL-6, TNF-α in serum and colon tissues of the UC group were increased compared with the NC group (all P<0.01), and they were decreased after WSP and SASP treatment (all P<0.01). The results of showed that the colon tissue structure was obviously broken and inflammatory infiltration in the UC group, while the H-WSP group and the SASP group significantly improved the colon tissue and alleviated inflammatory infiltration. The expression of TRPV1 in colon tissues in the UC group was increased compared with the NC group (all P<0.01), and it was decreased after WSP and SASP treatment. CONCLUSIONS WSP can alleviate the inflammatory state of ulcerative colitis induced by DSS, which might be related to the inhibition of inflammatory factors release, and down-regulation or desensitization of TRPV1.
Animals ; Male ; Rats ; Antineoplastic Agents/therapeutic use* ; Colitis, Ulcerative/chemically induced* ; Colon/pathology* ; Disease Models, Animal ; Interleukin-6/pharmacology* ; Propolis/therapeutic use* ; Rats, Sprague-Dawley ; Sulfasalazine/therapeutic use* ; TRPV Cation Channels ; Tumor Necrosis Factor-alpha/pharmacology*

Objective To explore the correlations between serum Mas-related G protein-coupled receptor X2 (MRGPRX2), interleukin (IL)-4, IL-5, IL-6, IL-13, IL-23 and IL-33 levels and chronic spontaneous urticaria (CSU). Methods The clinical characteristics and laboratory data from 55 patients with CSU and 21 healthy controls at Huashan Hospital, Fudan University from February 2021 to September 2023 were collected. The disease activity and severity of CSU patients were assessed. Serum level of MRGPRX2 was tested using enzyme-linked immunosorbent assay (ELISA), and levels of IL-4, IL-5, IL-6, IL-13, IL-23, and IL-33 were measured using Luminex multiplex assay in all subjects. Spearman correlation analysis was used to evaluate the correlations between biomarkers and other parameters in CSU patients, and logistic regression analysis was performed to identify factors influencing CSU. Results CSU patients exhibited significantly higher serum levels of MRGPRX2 (2.41[0, 11.51] ng/mL vs 0[0, 2.86] ng/mL, P＝0.015) and IL-23 (0.09[0.04, 0.56] pg/mL vs 0.05[0.03, 0.08] pg/mL, P＝0.033) than healthy controls. There was no difference in levels of other cytokines between the two groups. There was no difference in levels of MRGPRX2 and cytokines between severe and non-severe CSU patients. Correlation analysis showed that serum MRGPRX2 levels in CSU patients were positively correlated with IL-4 (r＝0.345, P＝0.010) and IL-6 (r＝0.395, P＝0.003) levels. Logistic regression analysis indicated that MRGPRX2≥0.055 ng/mL and IL-23≥0.135 pg/mL were independent risk factors for CSU (P＜0.05). Conclusions Serum levels of MRGPRX2 and IL-23 in CSU patients are elevated, which may be involved in the pathogenesis of CSU.

Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis and insulin resistance and there are currently no approved drugs for its treatment. Hyperactivation of mTOR complex 1 (mTORC1) and subsequent impairment of the transcription factor EB (TFEB)-mediated autophagy-lysosomal pathway (ALP) are implicated in the development of NAFLD. Accordingly, agents that augment hepatic TFEB transcriptional activity may have therapeutic potential against NAFLD. The objective of this study was to investigate the effects of nuciferine, a major active component from lotus leaf, on NAFLD and its underlying mechanism of action. Here we show that nuciferine activated ALP and alleviated steatosis, insulin resistance in the livers of NAFLD mice and palmitic acid-challenged hepatocytes in a TFEB-dependent manner. Mechanistic investigation revealed that nuciferine interacts with the Ragulator subunit hepatitis B X-interacting protein and impairs the interaction of the Ragulator complex with Rag GTPases, thereby suppressing lysosomal localization and activity of mTORC1, which activates TFEB-mediated ALP and further ameliorates hepatic steatosis and insulin resistance. Our present results indicate that nuciferine may be a potential agent for treating NAFLD and that regulation of the mTORC1-TFEB-ALP axis could represent a novel pharmacological strategy to combat NAFLD.