Objective: Chronic hyperglycemia characteristic of type diabetes 2 is responsible for the accelerated atherosclerosis with increased cardiovascular risk. In this study, we will propose to analyze the effect of a long-...Objective: Chronic hyperglycemia characteristic of type diabetes 2 is responsible for the accelerated atherosclerosis with increased cardiovascular risk. In this study, we will propose to analyze the effect of a long-term of glucotoxicity in vivo in Psammomys obesus by addition of sucrose to 30% for 11 months and in vitro study of adventitial fibroblasts in the presence of D-glucose 0.6% for 7 days. Materials and methods: Evaluation of plasma biochemical parameters was carried out at the initial time and at the end of experiment. At autopsy, a morphological study of the aorta was performed after fixation in aqueous Bouin and staining with Masson’s trichrome. The experimental glucotoxicity is induced by incubation of fibroblasts in DMEM enriched with D-glucose at 0.6% for 7 days. The impact of glucotoxicity is assessed in the intracellular compartments through dosage of total nitrite and malondialdehyde, a product of lipid peroxidation, and thanks to a morphological assay after fixation of cells with aqueous bouin and blood staining with May Grünwald Giemsa. The evaluation of cell proliferation is accomplished by cell counting. Collagens I and III of the extracellular compartment are characterized by SDS-PAGE. Results: Animals subjected to sucrose showed hyperglycemia associated with hyperinsulinemia, dyslipidemia, hyperproteinemia, increased CPK and VLDL-LDL and decreased HDL. Histology of aortas revealed endothelial cells hypertrophy, severe disorganization of intima and media. In the presence of glucose, the proliferation of fibroblasts increases very significantly (P = 2.34 × 10-5), the rate of malonaldehyde, nitrite and total density of chains α2 (I) and α1 (I + III) extra-cellular collagens I and III increased significantly. After staining, the cells showed hypertrophy, vacuolation of cytoplasm and chromatin condensation with nuclear fragmentation, indicative of apoptosis. Conclusion: The glucotoxicity induced in vivo and in vitro is responsible for major structural and metabolic alterations leading to the acceleration of the atherosclerotic process.展开更多
Recently,deep learning(DL)became one of the essential tools in bioinformatics.A modified convolutional neural network(CNN)is employed in this paper for building an integratedmodel for deoxyribonucleic acid(DNA)classif...Recently,deep learning(DL)became one of the essential tools in bioinformatics.A modified convolutional neural network(CNN)is employed in this paper for building an integratedmodel for deoxyribonucleic acid(DNA)classification.In any CNN model,convolutional layers are used to extract features followed by max-pooling layers to reduce the dimensionality of features.A novel method based on downsampling and CNNs is introduced for feature reduction.The downsampling is an improved form of the existing pooling layer to obtain better classification accuracy.The two-dimensional discrete transform(2D DT)and two-dimensional random projection(2D RP)methods are applied for downsampling.They convert the high-dimensional data to low-dimensional data and transform the data to the most significant feature vectors.However,there are parameters which directly affect how a CNN model is trained.In this paper,some issues concerned with the training of CNNs have been handled.The CNNs are examined by changing some hyperparameters such as the learning rate,size of minibatch,and the number of epochs.Training and assessment of the performance of CNNs are carried out on 16S rRNA bacterial sequences.Simulation results indicate that the utilization of a CNN based on wavelet subsampling yields the best trade-off between processing time and accuracy with a learning rate equal to 0.0001,a size of minibatch equal to 64,and a number of epochs equal to 20.展开更多
An L（d0,d2,...,dt）-labeling of a graph G is a function f from its vertex set V（G） to the set {0,1,..., k} for some positive integer k such that If（x） - f（y）l ≥di, if the distance between vertices x and y in G...An L（d0,d2,...,dt）-labeling of a graph G is a function f from its vertex set V（G） to the set {0,1,..., k} for some positive integer k such that If（x） - f（y）l ≥di, if the distance between vertices x and y in G is equal to i for i = 1,2,...,t. The L（d1,d2,...,dt）-number λ（G;d1,d2,... ,dt） of G is the smallest integer number k such that G has an L（d1,d2,...,dr）- labeling with max{f （x）｜x ∈ V（G）} = k. In this paper, we obtain the exact values for λ（Cn; 2, 2, 1） and λ（Cn; 3, 2, 1）, and present lower and upper bounds for λ（Cn; 2,..., 2, 1,..., 1）展开更多
文摘Objective: Chronic hyperglycemia characteristic of type diabetes 2 is responsible for the accelerated atherosclerosis with increased cardiovascular risk. In this study, we will propose to analyze the effect of a long-term of glucotoxicity in vivo in Psammomys obesus by addition of sucrose to 30% for 11 months and in vitro study of adventitial fibroblasts in the presence of D-glucose 0.6% for 7 days. Materials and methods: Evaluation of plasma biochemical parameters was carried out at the initial time and at the end of experiment. At autopsy, a morphological study of the aorta was performed after fixation in aqueous Bouin and staining with Masson’s trichrome. The experimental glucotoxicity is induced by incubation of fibroblasts in DMEM enriched with D-glucose at 0.6% for 7 days. The impact of glucotoxicity is assessed in the intracellular compartments through dosage of total nitrite and malondialdehyde, a product of lipid peroxidation, and thanks to a morphological assay after fixation of cells with aqueous bouin and blood staining with May Grünwald Giemsa. The evaluation of cell proliferation is accomplished by cell counting. Collagens I and III of the extracellular compartment are characterized by SDS-PAGE. Results: Animals subjected to sucrose showed hyperglycemia associated with hyperinsulinemia, dyslipidemia, hyperproteinemia, increased CPK and VLDL-LDL and decreased HDL. Histology of aortas revealed endothelial cells hypertrophy, severe disorganization of intima and media. In the presence of glucose, the proliferation of fibroblasts increases very significantly (P = 2.34 × 10-5), the rate of malonaldehyde, nitrite and total density of chains α2 (I) and α1 (I + III) extra-cellular collagens I and III increased significantly. After staining, the cells showed hypertrophy, vacuolation of cytoplasm and chromatin condensation with nuclear fragmentation, indicative of apoptosis. Conclusion: The glucotoxicity induced in vivo and in vitro is responsible for major structural and metabolic alterations leading to the acceleration of the atherosclerotic process.
基金This research was funded by the Deanship of Scientific Research at Princess Nourah Bint Abdulrahman University through the Fast-track Research Funding Program.
文摘Recently,deep learning(DL)became one of the essential tools in bioinformatics.A modified convolutional neural network(CNN)is employed in this paper for building an integratedmodel for deoxyribonucleic acid(DNA)classification.In any CNN model,convolutional layers are used to extract features followed by max-pooling layers to reduce the dimensionality of features.A novel method based on downsampling and CNNs is introduced for feature reduction.The downsampling is an improved form of the existing pooling layer to obtain better classification accuracy.The two-dimensional discrete transform(2D DT)and two-dimensional random projection(2D RP)methods are applied for downsampling.They convert the high-dimensional data to low-dimensional data and transform the data to the most significant feature vectors.However,there are parameters which directly affect how a CNN model is trained.In this paper,some issues concerned with the training of CNNs have been handled.The CNNs are examined by changing some hyperparameters such as the learning rate,size of minibatch,and the number of epochs.Training and assessment of the performance of CNNs are carried out on 16S rRNA bacterial sequences.Simulation results indicate that the utilization of a CNN based on wavelet subsampling yields the best trade-off between processing time and accuracy with a learning rate equal to 0.0001,a size of minibatch equal to 64,and a number of epochs equal to 20.
基金the National Natural Science Foundation of China (No.10531070)the National Basic Research Program of China 973 Program (No.2006AA11Z209)the Natural Science Foundation of Shanghai City (No.06ZR14049)
文摘An L（d0,d2,...,dt）-labeling of a graph G is a function f from its vertex set V（G） to the set {0,1,..., k} for some positive integer k such that If（x） - f（y）l ≥di, if the distance between vertices x and y in G is equal to i for i = 1,2,...,t. The L（d1,d2,...,dt）-number λ（G;d1,d2,... ,dt） of G is the smallest integer number k such that G has an L（d1,d2,...,dr）- labeling with max{f （x）｜x ∈ V（G）} = k. In this paper, we obtain the exact values for λ（Cn; 2, 2, 1） and λ（Cn; 3, 2, 1）, and present lower and upper bounds for λ（Cn; 2,..., 2, 1,..., 1）
