Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

Objective:To compare the differences in clinical characteristics among the patients at clinical high risk for bipolar disorder(CHR-BD),the patients with bipolar disorder(BD),and the healthy controls(HC)at low risk,and to provide the basis for the diognasis and treatment of CHR-BD.Methods:For the first time,the BD risk criteria and prospective structured assessment tools were jointly used in outpatients aged 16-30 years,and 43 CHR-BD patients were included to ensure the accuracy of the assessment.Meanwhile,33 BD patients and 32 HC subjects were also enrolled.The clinical symptoms,neurocognitive function,and global functional levels of the subjects in the three groups were evaluated using observer-rated and self-rated tools.The CHR-BD and BD groups were combined,and Logistic regression analysis was used to identify the independent influencing factors related to diagnostic status;Pearson or Spearman correlation analysis was used to analyze the correlations between the global functional levels and the symptoms or neurocognitive characteristics of the patients in CHR-BD and BD groups.Results:There were statistically significant differences in the scores of symptom and global functional level scales among HC,CHR-BD,and BD groups(P<0.05).Compared with HC group,the scores of mood symptoms(anxiety,depression,and mania/hypomania),psychotic symptoms,total affective temperament questionnaire scores,and some dimensions(cyclothymic,depressive,irritable,and anxious temperaments)in CHR-BD and BD groups were significantly increased(P<0.001),while the global functional levels were significantly decreased(P<0.001).Compared with BD group,the lowest global functional level score in the past year in CHR-BD group was significantly increased(P=0.022),while the current global functional level score was significantly decreased(P=0.005).No significant differences were observed in neurocognitive function scores among the three groups(P>0.05).The lowest global functional level score in the past year was an independent influencing factor for BD diagnosis[odds ratio(OR)=0.952,95%confidence interval(CI):0.917-0.988,P=0.010].In both CHR-BD and BD patients,the current global functional levels were negatively correlated with depressive(r=-0.417,P=0.005;r=-0.617,P<0.001)and anxiety symptoms(r=-0.360,P=0.018;r=-0.506,P=0.003).In BD patients,the current global functional level was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.360,P=0.039),psychotic symptoms(r=-0.502,P=0.003),and affective temperament scores(r=-0.479,P=0.005),while the lowest global functional level in the past year was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.391,P=0.024).Conclusion:CHR-BD patients share similar mood symptom characteristics with BD patients,and their global functional levels are negatively correlated with depressive and anxiety symptoms.BD patients exhibit worse lowest global functional levels in the past year,and their global functional levels are negatively correlated with manic/hypomanic symptoms.

Objective:To investigate the clinical features and prognosis of neuro-Beh?et′s syndrome (NBS) in children.Method:The clinical, brain magnetic resonance imaging and laboratory data of 5 children with NBS diagnosed in the Department of Pediatrics, General Hospital of Ningxia Medical University and Department of Rheumatology and Immunology, Children′s Hospital Affiliated to Capital Institute of Pediatrics from April 2014 to April 2024 were analyzed retrospectively. The follow-up method was retrospective outpatient or inpatient visit to evaluate the treatment effect of NBS.Result:Among the 5 NBS cases, 2 were male and 3 were female. The age of admission ranged from 8 to 17 years, the time from onset to diagnosis was 2 days to 4 years. Two patients had dizziness, headache and convulsions during the treatment of NBS, 1 patient had disturbance of consciousness, 1 patient gradually developed aphasia, limb movement disorder, dysphagia and muscle weakness after 4 years of Behcet's syndrome, and 1 patient had no clinical symptoms. C-reactive protein and erythrocyte sedimentation rate were increased in 4 cases, and cerebrospinal fluid white blood cells and immunoglobulin G were increased in 1 case. Brain magnetic resonance imaging of 4 children showed multiple lesions, including bilateral frontal lobe, occipital lobe, parietal lobe, periventricular and corpus callosum lesions. Brain magnetic resonance imaging showed multiple demyelinating diseases in 1 case, and cervical and thoracic magnetic resonance imaging showed slender cervical and thoracic spinal cord. All patients were treated with corticosteroids combined with immunosuppressants or biological agents. The children were followed up for 6 months to 4 years, and 4 cases had good treatment results, and 1 case finally gave up treatment.Conclusions:The clinical manifestations of NBS are not specific, and brain magnetic resonance imaging shows that the lesion location and morphology are not specific. NBS children treated with corticosteroids combined with immunosuppressive agents or biological agents have a good prognosis.

Hepatitis B virus（HBV）infection is one of the leading causes of hepatocellular carcinoma（HCC）. Although vaccination and antiviral therapy have reduced HBV infection rates in some regions，the incidence of HBV-associated HCC（HBV-HCC）remains high. Therefore，in-depth research into the carcinogenic mechanisms of HBV-HCC not only helps elucidate the key molecular events by which the virus drives tumorigenesis but also provides a theoretical basis for early diagnosis，risk stratification，and targeted therapy. This article explores the carcinogenic mechanisms of HBV-HCC from multiple perspectives，including HBV proteins and genetic variations，gene expression in liver tissue，viral genome integration，cell signaling pathways，malignant transformation and heterogeneity of liver stem cells，host genetic factors，and intra-organ iron metabolism abnormalities，offering insights for clinical and scientific research.

Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

AIM:To explore the regulatory mecha-nism of pinoresinol diglucoside(PDG)on angiogen-esis during osteoporotic fracture healing in vivo and in vitro.METHODS:Fifty male C57BL/6J mice were randomly divided into five groups:normal group,model group,PDG 0.005,0.015 g/kg groups,and parathyroid hormone 1-34(PTH1-34)4×10-5 g/kg group.The osteoporotic fracture model of ovariec-tomized combined with femoral fracture was estab-lished,the PDG group was given intragastric admin-istration every other day and the PTH1-34 group was given subcutaneous injection of PTH1-34 every other day for 8 weeks.Micro-CT scanning,immunofluo-rescence and immunohistochemical staining were used to detect the related parameters and protein expressions.Human umbilical vein endothelial cells(HUVECs)were cultured,normal group,PDG 1,10,100 μmol/L groups and PTH1-341 ng/mL group were set up.CCK-8 assay,scratch experiment,tubule for-mation experiment,immunofluorescence and Western blot were used to detect the related pa-rameters and protein expressions.RESULTS:In vivo experiments found,compared with the normal con-trol group,a small amount of bone callus volume of fracture site were increased in the model control group,while BMD of non-callus site of femur,tra-becular bone fraction(BV/TV),trabecular thickness(Tb.Th)and trabecular number(Tb.N)were de-creased(P＜0.01),and trabecular separation(Tb.Sp)was increased(P＜0.01).The positive expression of vascular endothelial marker vascular endothelial markers(CD31)was decreased(P＜0.01).Compared with mice in the model control group,bone callus volume,index of BMD and BV/TV were increased in the PDG 0.005 g/kg group(P＜0.05),index of BMD,BV/TV,Tb.Th,Tb.N were increased,and index of Tb.Sp was decreased in the PDG 0.015 g/kg group(P＜0.05),the positive expression of CD31 was in-creased in the PDG administration groups(P＜0.01),the protein expressions of vascular endothelial growth factor(VEGF-A)(P＜0.01),Yes-associated protein 1(YAP1)(P＜0.01),PDZ-binding motif(TAZ)(P＜0.05)and TEA domain transcription factor 2(TEAD2)(P＜0.01)were increased in callus in the PDG 0.015 g/kg groups.Cell experiments found,compared with the normal control group,PDG groups promoted the proliferation,migration and tubule formation activity of HUVECs to varying de-grees(P＜0.05),at the same time,the expression of endothelial cadherin(E-cadherin)was decreased(P＜0.01),and VEGF-A,TEAD2,TAZ and YAP1 protein expression were increased(P＜0.05).CONCLUSION:PDG may accelerate osteoporotic fracture healing by promoting bone angiogenesis through regulat-ing Hippo signal pathway.

Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

AIM:To explore the regulatory mecha-nism of pinoresinol diglucoside(PDG)on angiogen-esis during osteoporotic fracture healing in vivo and in vitro.METHODS:Fifty male C57BL/6J mice were randomly divided into five groups:normal group,model group,PDG 0.005,0.015 g/kg groups,and parathyroid hormone 1-34(PTH1-34)4×10-5 g/kg group.The osteoporotic fracture model of ovariec-tomized combined with femoral fracture was estab-lished,the PDG group was given intragastric admin-istration every other day and the PTH1-34 group was given subcutaneous injection of PTH1-34 every other day for 8 weeks.Micro-CT scanning,immunofluo-rescence and immunohistochemical staining were used to detect the related parameters and protein expressions.Human umbilical vein endothelial cells(HUVECs)were cultured,normal group,PDG 1,10,100 μmol/L groups and PTH1-341 ng/mL group were set up.CCK-8 assay,scratch experiment,tubule for-mation experiment,immunofluorescence and Western blot were used to detect the related pa-rameters and protein expressions.RESULTS:In vivo experiments found,compared with the normal con-trol group,a small amount of bone callus volume of fracture site were increased in the model control group,while BMD of non-callus site of femur,tra-becular bone fraction(BV/TV),trabecular thickness(Tb.Th)and trabecular number(Tb.N)were de-creased(P＜0.01),and trabecular separation(Tb.Sp)was increased(P＜0.01).The positive expression of vascular endothelial marker vascular endothelial markers(CD31)was decreased(P＜0.01).Compared with mice in the model control group,bone callus volume,index of BMD and BV/TV were increased in the PDG 0.005 g/kg group(P＜0.05),index of BMD,BV/TV,Tb.Th,Tb.N were increased,and index of Tb.Sp was decreased in the PDG 0.015 g/kg group(P＜0.05),the positive expression of CD31 was in-creased in the PDG administration groups(P＜0.01),the protein expressions of vascular endothelial growth factor(VEGF-A)(P＜0.01),Yes-associated protein 1(YAP1)(P＜0.01),PDZ-binding motif(TAZ)(P＜0.05)and TEA domain transcription factor 2(TEAD2)(P＜0.01)were increased in callus in the PDG 0.015 g/kg groups.Cell experiments found,compared with the normal control group,PDG groups promoted the proliferation,migration and tubule formation activity of HUVECs to varying de-grees(P＜0.05),at the same time,the expression of endothelial cadherin(E-cadherin)was decreased(P＜0.01),and VEGF-A,TEAD2,TAZ and YAP1 protein expression were increased(P＜0.05).CONCLUSION:PDG may accelerate osteoporotic fracture healing by promoting bone angiogenesis through regulat-ing Hippo signal pathway.

Hepatitis B virus（HBV）infection is one of the leading causes of hepatocellular carcinoma（HCC）. Although vaccination and antiviral therapy have reduced HBV infection rates in some regions，the incidence of HBV-associated HCC（HBV-HCC）remains high. Therefore，in-depth research into the carcinogenic mechanisms of HBV-HCC not only helps elucidate the key molecular events by which the virus drives tumorigenesis but also provides a theoretical basis for early diagnosis，risk stratification，and targeted therapy. This article explores the carcinogenic mechanisms of HBV-HCC from multiple perspectives，including HBV proteins and genetic variations，gene expression in liver tissue，viral genome integration，cell signaling pathways，malignant transformation and heterogeneity of liver stem cells，host genetic factors，and intra-organ iron metabolism abnormalities，offering insights for clinical and scientific research.