AIM：To confirm the role of angiopoietin-like protein 8（Angptl 8） in proliferative diabetic retinopathy（PDR）.METHODS：The sera and aqueous humor of 10 PDR patients and 10 non-diabetic retinopathy（NDR） patients（...AIM：To confirm the role of angiopoietin-like protein 8（Angptl 8） in proliferative diabetic retinopathy（PDR）.METHODS：The sera and aqueous humor of 10 PDR patients and 10 non-diabetic retinopathy（NDR） patients（idiopathic macular hole patients） were collected and the expression of Angptl 8 was detected by enzyme linked immune-sorbent assay（ELISA）.Experimental diabetes mice model was induced with streptozotocin.The expression of glycosylated hemoglobin and Angptl 8 in sera was detected.Recombinant Angptl 8 was re-infused into wild type（WT） diabetic mice and spatial frequency threshold and contrast sensitivity were measured.In vitro retinal pigment epithelium（RPE） were stimulated by recombinant Angptl 8 for 24 h.MMT assay were used to detect cell proliferation.At the same time,q RT-PCR and Western blot was used to measure the expression of proliferation-related factors in PRE cells.RESULTS：The expression of Angptl 8 was markedly increased in the sera and aqueous humor of PDR patients（F=99.02,P〈0.0001 in sera;t=10.42,P〈0.0001 in aqueous）.After successfully establishing the diabetic mice model,we found that glycosylated hemoglobin and Angptl 8 expression levels were increased.Re-infusion of recombinant Angptl 8 into WT diabetic mice could further decrease spatial frequency threshold and contrast sensitivity（P〈0.01）.In vitro,RPE cells stimulated by recombinant Angptl 8could increase the relative absorbance of MMT assay（1.486±0.042 vs 1.000±0.104,P〈0.05） and proliferating cell nuclear antigen（PCNA） expression（0.55±0.01 vs 0.29±0.03,P〈0.05）.The proliferative effect of Angptl 8 is mainly mediated by increasing the expression of proliferation-activating factors cyclin A1（4.973±0.205 vs 2.720±0.197,P〈0.05）,cyclin F（5.690±0.219 vs 4.297±0.292,P〈0.05） and E2 F2（2.297±0.102 vs 1.750±0.146,P〈0.05）,and reducing the expression of proliferation-inhibiting factors cdkn1（2.370±0.074 vs 3.317±0.135,P〈0.05） and cdkn2（4.793±0.065 vs 5.3展开更多
Type 2 diabetes patients often suffer from microvascular compli-cations of diabetes.These complications,in turn,often lead to vision impair-ment.Diabetic Retinopathy(DR)detection in its early stage can rescue people f...Type 2 diabetes patients often suffer from microvascular compli-cations of diabetes.These complications,in turn,often lead to vision impair-ment.Diabetic Retinopathy(DR)detection in its early stage can rescue people from long-term complications that could lead to permanent blindness.In this study,we propose a complex deep convolutional neural network architecture with an inception module for automated diagnosis of DR.The proposed novel Hybrid Inception U-Net(HIUNET)comprises various inception modules connected in the U-Net fashion using activation maximization and filter map to produce the image mask.First,inception blocks were used to enlarge the model’s width by substituting it with primary convolutional layers.Then,aggregation blocks were used to deepen the model to extract more compact and discriminating features.Finally,the downsampling blocks were adopted to reduce the feature map size to decrease the learning time,and the upsam-pling blocks were used to resize the feature maps.This methodology ensured high prominence to lesion regions compared to the non-lesion regions.The performance of the proposed model was assessed on two benchmark compet-itive datasets called Asia Pacific Tele-Ophthalmology Society(APTOS)and KAGGLE,attaining accuracy rates of 95%and 92%,respectively.展开更多
文摘AIM：To confirm the role of angiopoietin-like protein 8（Angptl 8） in proliferative diabetic retinopathy（PDR）.METHODS：The sera and aqueous humor of 10 PDR patients and 10 non-diabetic retinopathy（NDR） patients（idiopathic macular hole patients） were collected and the expression of Angptl 8 was detected by enzyme linked immune-sorbent assay（ELISA）.Experimental diabetes mice model was induced with streptozotocin.The expression of glycosylated hemoglobin and Angptl 8 in sera was detected.Recombinant Angptl 8 was re-infused into wild type（WT） diabetic mice and spatial frequency threshold and contrast sensitivity were measured.In vitro retinal pigment epithelium（RPE） were stimulated by recombinant Angptl 8 for 24 h.MMT assay were used to detect cell proliferation.At the same time,q RT-PCR and Western blot was used to measure the expression of proliferation-related factors in PRE cells.RESULTS：The expression of Angptl 8 was markedly increased in the sera and aqueous humor of PDR patients（F=99.02,P〈0.0001 in sera;t=10.42,P〈0.0001 in aqueous）.After successfully establishing the diabetic mice model,we found that glycosylated hemoglobin and Angptl 8 expression levels were increased.Re-infusion of recombinant Angptl 8 into WT diabetic mice could further decrease spatial frequency threshold and contrast sensitivity（P〈0.01）.In vitro,RPE cells stimulated by recombinant Angptl 8could increase the relative absorbance of MMT assay（1.486±0.042 vs 1.000±0.104,P〈0.05） and proliferating cell nuclear antigen（PCNA） expression（0.55±0.01 vs 0.29±0.03,P〈0.05）.The proliferative effect of Angptl 8 is mainly mediated by increasing the expression of proliferation-activating factors cyclin A1（4.973±0.205 vs 2.720±0.197,P〈0.05）,cyclin F（5.690±0.219 vs 4.297±0.292,P〈0.05） and E2 F2（2.297±0.102 vs 1.750±0.146,P〈0.05）,and reducing the expression of proliferation-inhibiting factors cdkn1（2.370±0.074 vs 3.317±0.135,P〈0.05） and cdkn2（4.793±0.065 vs 5.3
文摘Type 2 diabetes patients often suffer from microvascular compli-cations of diabetes.These complications,in turn,often lead to vision impair-ment.Diabetic Retinopathy(DR)detection in its early stage can rescue people from long-term complications that could lead to permanent blindness.In this study,we propose a complex deep convolutional neural network architecture with an inception module for automated diagnosis of DR.The proposed novel Hybrid Inception U-Net(HIUNET)comprises various inception modules connected in the U-Net fashion using activation maximization and filter map to produce the image mask.First,inception blocks were used to enlarge the model’s width by substituting it with primary convolutional layers.Then,aggregation blocks were used to deepen the model to extract more compact and discriminating features.Finally,the downsampling blocks were adopted to reduce the feature map size to decrease the learning time,and the upsam-pling blocks were used to resize the feature maps.This methodology ensured high prominence to lesion regions compared to the non-lesion regions.The performance of the proposed model was assessed on two benchmark compet-itive datasets called Asia Pacific Tele-Ophthalmology Society(APTOS)and KAGGLE,attaining accuracy rates of 95%and 92%,respectively.
