Objective:To investigate the predictive value of three-dimensional arterial spin labeling (3D-ASL) for posterior circulation ischemia (PCI) and posterior circulation stroke (PCS) in patients with isolated vertigo.Methods:Patients with isolated vertigo underwent 3D-ASL imaging at Drum Tower Hospital Affiliated to Nanjing University School of Medicine from January 1, 2022 to December 31, 2024 were included retrospectively. According to the imaging findings, the patients with isolated vertigo were divided into PCI group and non-PCI group. The PCI group was further divided into PCS group and non-PCS group. The baseline clinical data and laboratory examination data were collected. Cerebral blood flow (CBF) in different brain regions of the posterior circulation was obtained through 3D-ASL related parameters to evaluate the posterior circulation perfusion, including CBF at two post-labeling delay times (PLD) (1.5 s and 2.5 s), delayed perfusion CBF (ΔCBF), multisequence PLD (Multi-PLD) CBF, and CBF under arterial transit time (ATT). Multivariate logistic regression analysis was used to determine the association of different CBF values with PCI and PCS in patients with isolated vertigo. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of different CBF values for PCI and PCS. Results:A total of 81 patients with isolated vertigo were included, aged 63.0±12.1 years, 44 were males (54.3%); 58 (71.6%) had PCI and 27 (25.9%) had PCS. Multivariate logistic regression analysis showed that PLD 1.5 s-CBF (odds ratio [ OR] 1.372, 95% confidence interval [ CI] 1.169-1.611; P<0.001), ΔCBF ( OR 1.197, 95% CI 1.072-1.336; P=0.001), and Multi-PLD-CBF ( OR 2.099, 95% CI 1.257-3.504; P=0.005) were the independent predictive factors of PCI. ROC curve analysis showed that the area under the curve for predicting PCI using the above three parameters alone and in combination were 0.962 (95% CI 0.915-1.000), 0.683 (95% CI 0.543-0.823), 0.944 (95% CI 0.985-1.000), and 0.999 (95% CI 0.997-1.000), respectively. Multivariate logistic regression analysis showed that the PLD 1.5 s-CBF ( OR 1.246, 95% CI 1.030-2.089; P=0.002), ΔCBF ( OR 1.153, 95% CI 1.038-1.281; P=0.008), and multi-PLD-CBF ( OR 1.388, 95% CI 1.219-1.689; P=0.001) in cerebellar region were the independent predictors of PCS. ROC curve analysis showed that the area under the curve for predicting PCS using the above three parameters alone and in combination were 0.956 (95% CI 0.911-1.00), 0.802 (95% CI 0.685-0.920), 0.972 (95% CI 0.923-1.000), and 0.977 (95% CI 0.937-1.00), respectively. Conclusion:3D-ASL can predict PCI and PCS early, and combining multiple parameters can improve the predictive ability for PCI and PCS.

Objectives:To investigate associations of triglyceride glucose (TyG) index and remnant cholesterol (RC) with carotid intima-media thickness (cIMT) in non-diabetes population, and to evaluate the predictive value of TyG combined with RC for cIMT.Methods:Non-diabetes adult subjects underwent physical examination in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2021 to December 2021 were included retrospectively. According to the findings of carotid ultrasound examination, they were divided into cIMT thickening group (≥1 mm) and non-cIMT thickening group. Multivariate logistic regression analysis was used to identify the independent risk factors for cIMT thickening. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of TyG index combined with RC for cIMT thickening. Results:A total of 1 109 subjects were enrolled, including 640 males (57.7%), aged 56.44±14.58 years, and 626 (56.4%) had cIMT thickening. The age and male proportion of the cIMT thickening group were significantly higher than those of the non-cIMT thickening group, and there were significant differences in the quartiles distribution of RC and TyG index between the two groups (all P<0.001). Multivariate logistic regression analysis showed that RC (odds ratio 1.601, 95% confidence interval 1.162-2.207; P=0.004) and TyG index (odds ratio 1.807, 95% confidence interval 1.302-2.508; P<0.001) were the independent risk factors for cIMT thickening. ROC curve analysis showed that the area under the curve of TyG index combined with RC to predict cIMT thickening was 0.717 (95% confidence interval, 0.687-0.747), indicating higher diagnostic efficacy than TyG index and RC alone. Conclusion:TyG index and RC are associated with cIMT thickening in the non-diabetes population, and the combination of them had good predictive value for cIMT thickening.

Objective To study the expression of caudal related homeodomain transcription 2 ( CDX2 ) protein in human colon cancer , and study the relationship between protein expression and colon cancer metasta -sis.Methods With immunohistochemical technique in peroxidase notation , pathological specimens of 80 cases of colon cancer were selected , including 47 cases of distal metastasis , and 33 cases without cancer metastasis . CDX2 protein expression in cancer tissue and the related data were statistically analyzed .Results Patients'sex, age and location of colon tumors had no statistical relation with CDX 2 protein expression(P>0.05).CDX2 pro-tein was statistically different in well-differentiated(100.00%), moderately-differentiated(80.00%), and poor-ly-differentiated(33.33%) tumor tissues.The difference had statistical significance (P<0.05), The expression of CDX2 protein reduced with the reduction in the degree of colorectal adenocarcinoma differentiation , rs =0.217, indicating that CDX2 protein expression was positively correlated with the malignant degree of colon canc -er.Positive CDX2 protein expression was significantly lower in metastatic colon cancer tissues (72.3%) than in non-metastatic tissues ( 90.9%) , and the difference had statistical significance .Lymph node metastasis could down regulate CDX2 protein expression in colorectal cancer .Conclusion CDX2 protein is positively correlated with the differentiation degree of colon cancer and distal metastasis can down regulate CDX 2 protein expression .