Objective:To investigate the effect of microRNA-146a (miR-146a) on apoptosis of human retinal microvascular endothelial cells (HRMECs) induced by high glucose and its possible molecular mechanism.Methods:HRMECs were cultured in vitro with 5.5 mmol/L D-glucose in the normal control group and 25 mmol/L D-glucose in the high glucose group for 48 hours, respectively.Normally cultured HRMECs were transfected by miR-146a mimics in the high glucose+ miR-146a mimics group or corresponding mimics control in the high glucose+ mimics control group by lipofection and cultured with 25 mmol/L D-glucose for 48 hours, respectively.Real-time fluorescent quantitative polymerase chain reaction (PCR) was performed to detect the expression level of miR-146a.MTT assay and flow cytometry were used to detect the activity and apoptosis of HRMECs, and Western blot was employed to detect the expression levels of apoptosis-associated protein B-cell lymphoma factor-2 (Bcl-2), Bcl-2 related X protein (Bax) and nuclear factor-κB (NF-κB) signaling-related proteins NF-κB p65 and p-NF-κB p65. Results:The relative expression levels of miR-146a were 1.00±0.10, 0.22±0.02, 0.21±0.02 and 0.88±0.09, and the cell viability was (100.00±10.06)%, (68.41±6.67)%, (67.91±6.74)% and (90.46±8.97)%, and the apoptosis rates were (3.11±1.02)%, (27.28±3.56)%, (27.44±4.03)% and (7.29±2.11)% in the normal control group, high glucose group, high glucose+ mimics control group and high glucose+ miR-146a mimics group, respectively.The relative expression levels of miR-146a and the cell viability were significantly lower, and the cell apoptosis rate was significantly higher in the high glucose group than those in the normal control group, with statistical significant differences (all at P<0.05). The relative expression levels of miR-146a and the cell viability were significantly higher, and the cell apoptosis rate was significantly lower in the high glucose+ miR-146a mimics group than those in the high glucose group and the high glucose+ mimics control group, and the differences were statistically significant (all at P<0.05). The relative expression levels of Bax and p-NF-κB p65 protein were significantly higher, the relative expression level of Bcl-2 protein was significantly lower in the high glucose group than those in the normal control group, showing statistically significant differences (all at P<0.05). The relative expression levels of Bax and p-NF-κB p65 protein were significantly lower, and the relative expression level of Bcl-2 protein was significantly higher in the high glucose+ miR-146a mimics group than those in the high glucose group and the high glucose+ mimics control group, and the differences were statistically significant (all at P>0.05). There was no significant difference in the relative expression of NF-κB p65 protein among the groups ( F=0.106, P=0.955). Conclusions:Overexpression of miR-146a may inhibit the apoptosis of HRMECs induced by high glucose, and its mechanism may be related to the inhibition of NF-κB signaling pathway activation.

Objective To discuss the predisposing causes and echocardiographic findings of abnormal cardiac calcifications in fetuses.Methods The echocardiographic and pathological data of 12 fetuses with abnormal cardiac calcifications were retrospectively reviewed,and the pregnancy outcome,predisposing cause and echocardiographic features were analyzed.Results Associated maternal positive anti-SSA/SSB antibody was found in 8 fetuses.The echocardiographic findings of these 8 fetuses were extensive hyper-echogenic thickened atrial wall,interatrial septal and atrioventricular roof.Cardiac myocardium dystrophic calcification was found in 3 fetuses with focal or extensive hyper-echogenic of myocardium.Idiopathic infantile calcification with thickening and hyper-echogenic wall of main pulmonary artery and aorta with obvious stenosis of artery were observed in 1 fetus.One fetus with dystrophic myocardium calcification was continued in pregnancy,1 maternal anti-SSA/SSB antibody (+) baby was born,and 10 fetuses were terminated.Conclusion Maternal anti SSA/ SSB antibody (-) is predominantly associated with fetal cardiac calcification.Fetal abnormal cardiac calcification with different predisposing causes have different echocardiographic features.

Objective:To investigate the value of artificial intelligence in screening normal or abnormal four-chamber view of the fetal heart.Methods:Selecting 3 996 pictures of normal and abnormal end systolic four chamber views and 450 video clips from the database of Beijing Key Laboratory of Fetal Heart Disease Maternal and Fetal Medicine Research in Beijing Anzhen Hospital as training set, test set and verification set to train, test and verify DGACNN model. ①Comparing DGACNN, DGACNN-ALOCC and other classification models(Densenet, Resnet50, InceptionV3, InceptionResnetV2) to detect the model with the most advanced level by recognizing 200 normal pictures and 200 abnormal pictures. ②Fetal echocardiographers were divided into three groups according to their experiences: primary, intermediate and advanced, 3 doctors in each group, and comparing the average score between each group or three groups and DGACNN by recognizing 100 normal pictures and 100 abnormal pictures.Results:①When the the false positive rate(FPR) was in the range of 20%, the recognition accuracy of DGACNN was the highest with 0.850, the recognition accuracy of other models were DGACNN-ALOCC 0.835, Densenet 0.780, Resnet50 0.700, InceptionV3 0.670, InceptionResnetV2 0.650, respectively. ②When FPR was in the range of 20%, the area under ROC curve of DGACNN was the largest with 0.881, the area under ROC curve of other models were DGACNN-ALOCC 0.864, Densenet 0.850, Resnet50 0.822, Inceptionv3 0.779, InceptionResnetV2 0.703, respectively. ③When the FPR was in the range of 20%, the average recognition accuracy of the senior fetal echocardiographer group was the highest with 0.863, followed by DGACNN 0.840, which was higher than the average recognition accuracy of the primary and intermediate groups with 0.760, 0.807; the average recognition accuracy of DGACNN was higher than the total average recognition accuracy of the primary, intermediate and advanced groups with 0.810.Conclusions:Artificial intelligence is accessible in screening four chamber view of fetal echocardiography, with high recognition accuracy.