Objective To investigate the role of B7/CD28 costimulation pathway blockade with adenovirus-mediated CTLA4-Ig gene in macrophage and CD8~+T cell infiltration and cell apoptosis in murine liver transplantation. Methods Rat pairs were divided into three groups: SD-to-Wistar transplantation control group, CsA-treated group and CTLA4-Ig-treated group. IHC and TUNEL were used to analyze the expression of CTLA4-Ig gene in liver and immune cells infiltrate and cell apoptosis in liver grafts. Pathology was done on all harvested grafts. ResultsCTLA4-Ig gene expression was positive in the donor liver on day 7 after administering adenovirus-mediated CTLA4-Ig gene via vein, and remained positive until day 60 after liver transplantation. Infiltration of immune cells in CTLA4-Ig-treated group was less than that in rejection control group. the apoptotic index of rejection group on day 3,5,7 was significantly higher than those of CTLA4-Ig-treated. Conclusions CTLA4-Ig gene was constantly expressed in the donor liver after single intravenousely injection into rats using adenovirus as vector. Adenovirus-mediated CTLA4-Ig gene therapy can inhibit infiltration of immune cells and apoptosis in grafts, thus prolonging the survival of recipients.

Objective:To assess the value of 4-dimensional CT angiography (4D CTA) to predict hemorrhagic transformation (HT) with a new nomogram model in acute ischemic stroke (AIS) patients after endovascular treatment (EVT).Methods:Imaging and clinical data of 101 AIS patients with internal carotid artery and/or middle cerebral artery occlusion who underwent "one-stop" CTA-CT perfusion and EVT in green channel of Beijing Hospital from March 2016 to November 2020 were analyzed retrospectively. The patients were divided into HT group (45 patients) and non-HT group (56 patients). Multivariate logistic regression analysis was used to select relevant clinical and imaging variables, such as age, initial National Institute of Health stroke scale (NIHSS) score, 4D CTA collateral circulation score, Alberta stroke program early CT score (ASPECTS), clot burden score, and a predictive nomogram model were developed. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the efficacy of predictive nomogram model for diagnosing HT.Results:Univariate analysis showed that there were significant difference of age[79.00(68.00, 85.00) years, 73.00(62.75, 80.00) years, Z=-2.20, P=0.028], NIHSS score [16.00(12.00, 21.00), 9.50(6.00, 14.00), Z=-4.44, P<0.001], ASPECTS score [5.00(3.00, 8.00), 8.00(7.00, 9.00), Z=-4.23, P<0.001], 4D CTA collateral circulation score [2.00(0, 3.00), 3.00(3.00, 4.00), Z=-5.39, P<0.001], clot burden score [4.00(1.00, 7.00), 7.50(6.00, 9.00), Z=-3.42, P=0.001], location of the occlusion(internal carotid artery/middle cerebral artery occlusion was 23/22, 11/45 cases, χ2=9.70, P=0.002), and atrial fibrillation (27 and 19 cases respectively, χ2=5.83, P=0.016) between HT group and non-HT group. Multivariate logistic regression analysis showed that ASPECTS score (OR=0.64, 95%CI 0.47-0.87), NIHSS score (OR=1.13, 95%CI 1.01-1.26), 4D CTA collateral circulation score (OR=0.40,95%CI 0.22-0.76) were independent predictors of HT in AIS patients ( P<0.05). The AUC of the nomogram based on the ASPECTS score, NIHSS score and 4D CTA collateral circulation score to predict HT of AIS patients was 0.876 (95%CI 0.807-0.945), with a sensitivity of 77.8% and specificity of 87.5%. Conclusions:Patients with low ASPECTS score, high NIHSS score and low 4D CTA collateral circulation score have a higher risk of HT after EVT. The nomogram model may predict the probability of HT of AIS patients and provide effective assistance for clinical decision-making.