Objective:To investigate the predictive factors for the outcome of patients with complete recanalization after endovascular treatment (EVT) for acute basilar artery occlusion (ABAO).Methods:Patients with ABAO underwent EVT at Jiangsu Provincial People's Hospital and Nanjing Pukou People's Hospital from January 2015 to December 2022 were included retrospectively. Complete recanalization was defined as a modified Thrombolysis in Cerebral Infarction (mTICI) grade 3 after EVT. The main outcome measure was the clinical outcome evaluated by the modified Rankin Scale at 90 days after onset. 0-2 points were defined as good outcome and >2 points were defined as poor outcome. The secondary outcome measure was death within 90 days after onset. Multivariate logistic regression analysis was used to determine the independent predictive factors for poor outcome and mortality. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of the independent predictive factors for poor outcome or mortality. Results:A total of 73 patients with completed recanalization after EVT for ABAO were enrolled, including 55 males (75.3%), aged 67.2±1.58 years, with the median baseline National Institutes of Health Stroke Scale (NIHSS) score 23, median baseline Basilar Artery on Computed Tomography Angiography (BATMAN) score 7, and median baseline posterior circulation Alberta Stroke Program Early CT Score (pc-ASPECTS) 8. After 90 days of onset, 34 patients (46.6%) had poor outcome and 16 (21.9%) died. Multivariate logistic regression analysis showed that higher baseline NIHSS score (odds ratio [ OR] 1.151, 95% confidence interval [ CI] 1.041-1.273; P=0.006), lower baseline pc-ASPECTS ( OR 0.096, 95% CI 0.024-0.386; P=0.001), lower baseline BATMAN score ( OR 0.394, 95% CI 0.162-0.961; P=0.041), and non-first-pass recanalization ( OR 5.011, 95% CI 1.675-23.343; P=0.016) were independently associated with the poor outcome. ROC curve analysis showed that the area under the curve for predicting poor outcome by combining these independent predictive factors was 0.966 (95% CI 0.930-0.964). Multivariate logistic regression analysis showed that older age ( OR 1.147, 95% CI 1.010-1.303; P=0.035), higher baseline NIHSS score ( OR 1.236, 95% CI 1.040-1.470; P=0.016), lower baseline pc-ASPECTS ( OR 0.011, 95% CI 0.002-0.249; P=0.015), and lower baseline BATMAN score ( OR 0.050, 95% CI 0.004-0.618; P=0.020) were independently associated with mortality within 90 days after onset. ROC curve analysis showed that the area under the curve for predicting mortality by combining these independent predictive factors was 0.948 (95% CI 0.899-0.997). Conclusion:For patients with ABAO who had complete recanalization after EVT, the baseline NIHSS score, baseline pc-ASPECTS, baseline BATMAN score, and non-first-pass recanalization are the independent predictive factors for poor outcome at 90 days after onset, while age, baseline NIHSS score, baseline pc-ASPECTS, and baseline BATMAN score are the independent predictive factors for mortality within 90 days after onset.

Objective:To determine the role of lncRNA TUG1 in pancreatic β cells functioning both in vitro and in vivo.Methods:The lncRNA TUG1 expression in mice pancreas,brain,muscle and other different tissues was examined through qRT-PCR.MTT,flow cytometry,GSIS,ELISA and immunochemistry analyses were performed to detect the effect of lncRNA TUG1 on insulin secretion in vitro and in vivo.Results:lncRNA TUG1 was highly expressed in pancreatic tissue compared with other organ tissues.Knockdown of lncRNA TUG1 expression resulted in decreased insulin secretion in β cells both in vitro and in vivo.Immunochemistry analyses showed decreased relative islet area after treatment with lncRNA TUG1 siRNA.Conclusions:Downregulation of lncRNA TUG1 expression can affect insulin secretion in pancreatic β cells in vitro and in vivo,and lncRNA TUG1 may represent a factor that regulates the function of pancreatic β cells.