Objective To study the relationship between the expression of sonic hedgehog (Shh) and vascular endothelial growth factor (VEGF) in hypoxic human retinal pigment epithelial (hRPE) cells. Methods Cultured hRPE-19 cells (3rd - 6th generations) were used in this experiment. hRPE-19 cells were divided into three groups including the control group, the hypoxia experimental group (100 μmol/L CoCl2) and the inhibition group (pretreatment with 20 μmol/L cyclopamine 1 hour before hypoxia). After culturing for 4, 8, 12 and 24 hours, the mRNA level of Shh and VEGF genes in these cells were measured by fluorescence quantitative polymerase chain reaction, and the protein level of Shh and VEGF in the supernatants were measure by enzyme-linked immunosorbent assay. The relationship between the expression of Shh and VEGF was analyzed by Pearson correlation analysis. Results The control group expressed low levels of Shh and VEGF mRNA/protein. The expression of Shh and VEGF mRNA/protein in the hypoxia experimental group was significantly higher than that in the control group (F=178.364, 183.732, 77.456, 91.572; P＜0.01). The expression of Shh and VEGF mRNA in the inhibition group was significantly lower than that in the hypoxia experimental group (F=68.745, 121.834; P＜0.01). In the hypoxia experimental group, the expression of VEGF protein was positively correlated with the expression of Shh protein (r=0.942, P＜0.05); and the expression of VEGF and Shh mRNA was positively correlated (r=0.970, P＜0.01). However, there was no significant correlation in the expression of VEGF and Shh mRNA in the inhibition group (r=0.915, P＞0.05). Conclusion There is a positive correlation between the expression of Shh and VEGF in hypoxic hRPE cells.
ObjectiveTo establish and preliminarily validate a nomogram model for predicting the risk of retinal vein occlusion (RVO). MethodsA retrospective clinical study. A total of 162 patients with RVO (RVO group) diagnosed by ophthalmology examination in The Second Affiliated Hospital of Xi'an Jiaotong University from January 2017 to April 2022 and 162 patients with age-related cataract (nRVO group) were selected as the modeling set. A total of 45 patients with branch RVO, 45 patients with central RVO and 45 patients with age-related cataract admitted to Xi 'an Fourth Hospital from January 2022 to February 2023 were used as the validation set. There was no significant difference in gender composition ratio (χ2=2.433) and age (Z=1.006) between RVO group and nRVO group (P=0.120, 0.320). Age, gender, blood routine (white blood cell count, hemoglobin concentration, platelet count, neutrophil count, monocyte count, lymphocyte count, erythrocyte volume, mean platelet volume, platelet volume distribution width), and four items of thrombin (prothrombin time, activated partial thrombin time, fibrinogen, and thrombin time) were collected in detail ), uric acid, blood lipids (total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, lipoprotein a), hypertension, diabetes mellitus, coronary heart disease, and cerebral infarction. Neutrophil/lymphocyte ratio and platelet/lymphocyte ratio were calculated. The single logistic regression was used to analyze the clinical parameters of the two groups of patients in the modeling set, and the stepwise regression method was used to screen the variables, and the column graph for predicting the risk of RVO was constructed. The Bootstrap method was used to repeated sample 1 000 times for internal and external verification. The H-L goodness-of-fit test and receiver operating characteristic (ROC) curve were used to evaluate the calibration and discrimination of the nomogram model. ResultsAfter univariate logistic regression and stepwise regression analysis, high density lipoprotein, neutrophil count and hypertension were included in the final prediction model to construct the nomogram. The χ2 values of the H-L goodness-of-fit test of the modeling set and the validation set were 0.711 and 4.230, respectively, and the P values were 0.701 and 0.121, respectively, indicating that the nomogram model had good prediction accuracy. The area under the ROC curve of the nomogram model for predicting the occurrence of post-stroke depression in the modeling set and the verification set was 0.741 [95% confidence interval (CI) 0.688-0.795] and 0.741 (95%CI 0.646-0.836), suggesting that the nomogram model had a good discrimination. ConclusionsLow high density lipoprotein level, high neutrophil count and hypertension are independent risk factors for RVO. The nomogram model established based on the above risk factors can effectively assess and quantify the risk of post-stroke depression in patients with cerebral infarction.