Autoimmune hepatitis （AIH） is a chronic inflammatory liver disease mediated by T lymphocytes， and it can progress to liver cirrhosis or even liver failure without timely intervention. As a natural flavonoid compound， naringenin （NAR） shows a potential value in the prevention and treatment of AIH through multiple mechanisms such as remodeling immune homeostasis， targeted inhibition of inflammatory pathways， antioxidation， regulating hepatocyte metabolism and apoptosis， improving mitochondrial function， and regulating intestinal flora. However， the clinical translation and application of NAR is limited by issues such as low bioavailability and insufficient efficiency of liver-targeted delivery. This article systematically reviews the mechanism of action of NAR in the prevention and treatment of AIH， explores the potential signaling pathways involved in this process， and analyzes existing challenges in its translation and application and future research directions， so as to provide a reference for further research on NAR and its application in the prevention and treatment of AIH.

Objective To develop and validate a machine learning model based on preoperative clinical characteristics, laboratory indices, and radiological features for the non-invasive prediction of spread through air spaces (STAS) in patients with early-stage lung adenocarcinoma. Methods Preoperative data from patients with early-stage lung adenocarcinoma who underwent surgical resection at Northern Jiangsu People's Hospital between January 2020 and August 2025 were retrospectively collected. The data included clinical characteristics, laboratory indices, and radiological features. Patients were divided into a STAS-positive and a STAS-negative group based on postoperative pathological findings. The dataset was randomly split into a training set and a testing set at a 7 : 3 ratio. Feature variables were selected using the maximum relevance and minimum redundancy (mRMR) algorithm and the least absolute shrinkage and selection operator (LASSO) regression. Five machine learning models were constructed: logistic regression (LR), random forest (RF), support vector machine (SVM), light gradient boosting machine (LightGBM), and extreme gradient boosting (XGBoost). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). The shapley additive explanations (SHAP) method was employed to interpret the optimal prediction model. Results A total of 377 patients were included, comprising 177 (46.9%) males and 200 (53.1%) females, with a mean age of (63.31±9.73) years. There were 261 patients in the training set and 116 patients in the testing set. In the training set, statistically significant differences were observed between the STAS-positive group (n=130) and STAS-negative group (n=131) across multiple features, including age, sex, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), clinical T stage, and maximum solid component diameter (P<0.05). A final set of 10 feature variables was selected by combining mRMR and LASSO regression, and five machine learning models (LR, RF, SVM, LightGBM, XGBoost) were developed. The XGBoost model demonstrated optimal performance in both the training and testing sets, achieving AUCs of 0.947 [95%CI (0.920, 0.975)] and 0.943 [95%CI (0.894, 0.993)], respectively. DCA indicated that the XGBoost model provided a high net clinical benefit across a wide range of threshold probabilities. SHAP analysis revealed that the vessel convergence sign, clinical T stage, age, consolidation-to-tumor ratio (CTR), and MLR were the features with the highest contributions to STAS prediction. Conclusion The XGBoost model effectively predicts preoperative STAS status in early-stage lung adenocarcinoma, exhibiting excellent discriminative performance and good clinical interpretability. Key predictors such as the vessel convergence sign, clinical T stage, age and CTR provide a crucial reference for preoperative risk assessment and the individualized selection of surgical strategies, ultimately benefiting patients.

Objective:To explore the therapeutic effect of compound Kuijie Ankang Decoction on ulcerative colitis (UC) model mice by non targeted metabonomics; To explore its mechanism.Compound Kuijie Ankang.Methods:The mice were randomly divided into blank control group, model group, Kuijie Ankang Decoction group and sulfasalazine group, with 12 mice in each group. Except the blank control group, the other groups were given 1.5% DSS solution for free drinking to prepare UC model. After successful modeling, Kuijie Ankang Decoction group was intragastrically administered with compound Kuijie Ankang Decoction of 9.68 g/kg, sulfasalazine group was intragastrically administered with sulfasalazine capsule suspension of 320 mg/kg, model group and blank control group were intragastrically administered with equal volume of purified water, once a day, for 7 consecutive days. The body mass and disease activity index (DAI) score of mice were measured. ELISA was used to measure the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), and interleukin-10 (IL-10) in the colon tissue of mice; the protein expressions of Claudin-1 and Zo-1 in colon tissue were detected by immunofluorescence method. HE staining was used to observe the pathological changes in the colon, and UHPLC-OE-MS technology was used to analyze the endogenous metabolite structure of mouse colon tissue, differential metabolites and related metabolic pathways were screened.Results:Compared with the model group, the colon length in Kuijie Ankang Decoction group and sulfasalazine group increased ( P<0.01), the DAI score decreased ( P<0.01), the levels of TNF-α, IL-1β and IL-6 in colon tissue decreased ( P<0.01), the level of IL-10 increased ( P<0.01), and the average optical density of Claudin-1 and Zo-1 protein increased ( P<0.01 or P<0.05). Metabolomics analysis identified 26 potential differential metabolites, including nicotinamide adenine dinucleotide, guanine, gamma aminobutyric acid, and thiamine, affecting 26 key metabolic pathways, including lysine biosynthesis, thiamine metabolism, cysteine and methionine metabolism. Conclusion:Kuaijie Ankang Decoction may improve metabolites such as Gamma aminobutyric acid and thiamine through metabolic pathways such as lysine biosynthesis to alleviate inflammatory reactions, thereby exerting therapeutic effects on ulcerative colitis in mice.

OBJECTIVE: To explore the genetic basis of a patient suspected for Loeys-Dietz syndrome (LDS). METHODS: A adult male patient with aneurysmal dilation of the aortic root identified during the treatment for chronic myeloid leukemia at Anzhen Hospital of Capital Medical University in 2021 was selected as the study subject. Clinical data of the patient were retrospectively collected. Peripheral blood samples were collected from the patient and his family members and subjected to whole-exome sequencing (WES). Candidate variant was verified by bioinformatic analysis, with a focus on the genes associated with hereditary aortic aneurysms. Candidate variant was validated by Sanger sequencing. The online SpliceAI software was used for the prediction of protein function. The results, combined with information from public databases, were used to classify the pathogenicity of the candidate variant according to the guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Ethics Committee of Beijing Anzhen Hospital (Ethics No. 2023163X). RESULTS: Imaging analysis revealed that the patient had aneurysmal dilation of the aortic root. Based on his clinical features and past history, a provisional diagnosis of LDS was established. WES revealed that the patient had harbored a heterozygous splice site variant c.206+2T>G in the SMAD3 gene (NM_005902). The variant was not reported in public databases and was predicted to be pathogenic by SpliceAI. Sanger sequencing showed that the variant was also present in the proband's mother, sister, nephew, and daughter, but not in his father. Based on the guidelines from the ACMG, the variant was classified as likely pathogenic (PVS1+PM2_Supporting). CONCLUSION The heterozygous splice site variant c.206+2T>G of the SMAD3 gene probably underlay the disease in this patient. Above discovery has enriched the mutational spectrum of LDS, which may facilitate delineation of the genotype-phenotype correlation and provide a basis for further risk stratification and personalized treatment of LDS.
Adult ; Humans ; Male ; Exome Sequencing ; Loeys-Dietz Syndrome/genetics* ; Mutation ; Pedigree ; Smad3 Protein/genetics*

Objective:To investigate the local hemodynamic spatial distribution of internal carotid artery stenosis and its correlation with plaque characteristics using high-resolution vessel wall imaging (HR-VWI) combined with computational fluid dynamics.Methods:This was a cross-sectional study. A retrospective analysis was conducted on the clinical and imaging data of 70 patients with moderate to severe stenosis at the initiation of the internal carotid artery in First Teaching Hospital of Tianjin University of Traditional Chinese Medicine and Tianjin First Central Hospital from March 2018 to June 2020. All patients underwent HR-VWI and CT angiography examinations. The parameters related to plaque characteristics, such as plaque length, maximum wall thickness, plaque volume, wall volume percentage and intraplaque hemorrhage (IPH) were measured and evaluated on HR-VWI images. CT angiography images were used to construct a local hemodynamic vascular model to measure various wall shear stress (WSS) derived parameters, such as time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), relative residence time (RRT), and transverse wall shear stress (transWSS), at the narrowest, proximal, and distal parts of the lesion. The Friedman test was used to analyze the difference of hemodynamic parameters in different parts of the lesion. Spearman correlation analysis was performed to assess the correlation between plaque burden and local hemodynamic parameters. Univariate and multivariate logistic regression analyses were used to explore the independent risk factors for predicting IPH.Results:Among the 70 patients, 25 patients with IPH and 45 patients without IPH. The overall differences in TAWSS, OSI, RRT and transWSS at the narrowest, proximal, and distal parts of the lesion in 70 patients were statistically significant ( P<0.05). The TAWSS and transWSS at the narrowest parts were significantly higher than those at the proximal and distal parts ( P<0.05). The OSI at the distal part was significantly higher than that at the narrowest and the proximal parts ( P<0.05). The RRT at the proximal part was significantly lower than that at the narrowest and the distal parts ( P<0.05). Spearman correlation analysis showed RRT at the distal part was correlated with plaque volume ( r s=0.249, P=0.044) and wall volume percentage ( r s=0.286, P=0.016), respectively. In a multivariate logistic regression showed plaque length ( OR=1.315, 95% CI 1.073-1.612, P=0.008) and TAWSS at the narrowest part ( OR=1.631, 95% CI 1.308-1.854, P=0.008) were independent risk factors for predicting IPH. Conclusions:The spatial distribution of local hemodynamics of moderate to severe stenosis at the initiation of the internal carotid artery is different, and the WSS parameters in different parts of the lesion have different effects on plaque volume, wall volume percentage and IPH.

Polycystic ovary syndrome(PCOS)is a complex disease that significantly impacts women's reproductive and metabolic health.The reprogramming of glucose metabolism points to fundamental changes in energy metabolism,which are central to the imbalance in energy metabolism,hormonal abnormalities,increasing insulin resistance,and chronic inflammatory states observed in PCOS.This represents a core pathological link in the pathogenesis of PCOS.The theory of"Spleen Qi to Dispersing Essence"provides a comprehensive overview of spleen function,essential for ensuring the normal operation of organs and the distribution of Qi,blood,and bodily fluids.It serves as a crucial theoretical support for the treatment of PCOS with traditional Chinese medicine.This article explores the role of regulating PCOS based on the theory of"Spleen Qi to Dispersing Essence"with a focus on the reprogramming of glucose metabolism.The mechanism of traditional Chinese medicinal treatments that assist Spleen Qi to Dispersing Essence is closely related to regulating glucose metabolism reprogramming,offering a novel research direction for the treatment of PCOS with TCM.

Objective To explore the mechanism underlying the role of disulfidptosis-related genes(DRGs)in the disease progression of metabolically associated fatty liver disease(MAFLD)based on bioinformatics.Methods In this study,the GEO database was utilized to screen for eligible MAFLD expression data,conduct differential gene analysis,and identify DRGs through consistent clustering to subtype MAFLD patients.The immune infiltration status among subtypes was further evaluated,and the infiltration of immune cells was analyzed using the CIBERSORT algorithm.The gene modules related to the disease were selected through weighted gene co-expression network analysis(WGCNA).Subsequently,a diagnostic model was constructed based on DRGs using machine learning models,and the performance of the model was verified.Finally,the stability of DRGs among different subtypes was evaluated using an external dataset,and the significance of the results was analyzed using statistical tests.Results Through the analysis of the dataset GSE31803,six disulfide death genes,namely,SLC3A2,NCKAP1,CYFIP1,FLNA,MYL6 and MYH10,which were closely related to the clinical characteristics of MAFLD,were screened out.MAFLD patients were classified into two subtypes,with subtype 1 having a higher level of immune cell infiltration.Key gene modules were identified through WGCNA.Through machine learning screening,the support vector machine(SVM)model was determined as the optimal classification model.External validation confirmed the stability and effectiveness of the key genes in different subtypes of MAFLD.Conclusion Based on DRGs,two highly heterogeneous subtypes of MAFLD were identified,which exhibited significant differences in clinical characteristics,biological processes and immune status,indicating that DRGs play a crucial role in the occurrence and development of MAFLD.

Objective In this study,2,4-dinitrochlorobenzene(DNCB)was used to induce the establishment of an atopic dermatitis(AD)model in BALB/c homozygous mice to simulate the skin inflammatory complications in patients with clinical malignancies.Methods BALB/c mice were divided into different groups:negative control group(NC group),model group(MODEL group),atopic dermatitis group(AD group),and dexamethasone group(DEX group).After the mice in MODEL group and DEX group were inoculated with S-180 tumor cells in the axilla,MODEL group,AD group and DEX group were stimulated with DNCB on the dorsal skin and the ear to establish an animal model of atopic dermatitis in tumor-bearing mice.Changes in body weight were observed and recorded,the dorsal skin condition of mice was assessed after the last administration of the drug,the spleen was taken to calculate the spleen coefficient,the difference in the mass of mouse ear slices was determined to calculate the degree of auricular swelling and the rate of inhibition of swelling,and histopathological tests were performed on the dorsal skin tissues to detect the levels of IgE,TNF-α,IL-4,and IL-17 in the serum using an ELISA assay.Results Compared with the NC group,the skin of mice in the MODEL and AD groups showed erythematous,papular,scaly and mossy changes,accompanied by weight loss,and a significant increase in splenic coefficient and auricular swelling.Pathologic findings showed an incomplete skin structure,a significant increase in skin thickness,a large infiltration of inflammatory cells,and an increase in the number of mast cells.Serum levels of IgE,TNF-α,IL-4 and IL-17 were increased.Compared with the MODEL group,the DEX group showed an improvement in all the assays.Conclusions DNCB excitation can successfully establish an animal model of AD in hormonal mice,which is drug-controllable,which provides a useful scientific tool for conducting scientific research related to malignant tumors and skin inflammation.

Objective:To explore the genetic basis of a patient suspected for Loeys-Dietz syndrome (LDS).Methods:An adult male patient with aneurysmal dilation of the aortic root identified during the treatment for chronic myeloid leukemia at Anzhen Hospital of Capital Medical University in 2021 was enrolled as the study subject. Clinical data of the patient were retrospectively collected. Peripheral blood samples were collected from the patient and his family members and subjected to whole-exome sequencing (WES). Candidate variant was verified by bioinformatic analysis, with a focus on the genes associated with hereditary aortic aneurysms. Candidate variant was validated by Sanger sequencing. The online SpliceAI software was used for the prediction of protein function. The results, combined with information from public databases, were used to classify the pathogenicity of the candidate variant according to the guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Ethics Committee of Beijing Anzhen Hospital (Ethics No. 2023163X).Results:Imaging analysis revealed that the patient had aneurysmal dilation of the aortic root. Based on his clinical features and past history, a provisional diagnosis of LDS was established. WES revealed that the patient had harbored a heterozygous splice site variant c. 206+ 2T>G in the SMAD3 gene (NM_005902). The variant was not reported in public databases and was predicted to be pathogenic by SpliceAI. Sanger sequencing showed that the variant was also present in the patients mother, sister, nephew, and daughter, but not in his father. Based on the guidelines from the ACMG, the variant was classified as likely pathogenic (PVS1+ PM2_Supporting). Conclusion:The heterozygous splice site variant c. 206+ 2T>G of the SMAD3 gene probably underlay the disease of this patient. The discovery has enriched the mutational spectrum of LDS, which may facilitate delineation of the genotype-phenotype correlation and provide a basis for further risk stratification and personalized treatment of LDS.

Polycystic ovary syndrome(PCOS)is one of the main causes of ovulatory dysfunction-induced female infertility.The dysfunction of the hypothalamic-pituitary-ovarian axis(HPOA)is a key factor promoting reproductive damage and metabolic abnormalities in PCOS.This article explored the correlation between HPOA dysfunction and the pathogenesis of heart-kidney disharmony in TCM based on Ye Tianshi's theory of"simultaneous upper and lower diseases,treating the middle energizer".It is believed that the treatment of PCOS should aim at restoring the ascending and descending of qi in the middle energizer,with the main therapeutic approach being soothing the liver and strengthening the spleen,which can provide ideas for the clinical treatment of PCOS.