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Effect of atorvastatin on dendritic cells of tubulointerstitium in diabetic rats
( Ya Fang Tu ),( Ru Han Jia ),( Guo Hua Ding ),( Ling Chen ) 생화학분자생물학회 2010 BMB Reports Vol.43 No.3
Inflammatory reactology has become increasingly important in diabetic kidney disease. In this study, we estabilished STZ-induced diabetic rat model to investigate whether dendritic cells (DCs) mediated tubulointerstitial damages, and whether the effects by DCs were mediated by P-selectin expression and can be inhibited by atorvastatin. The study demonstrated that there was an accumulation of DCs in diabetic rats mediated by P-selectin. It also showed the accumulation of DCs and expression of P-selectin was closely correlated with the degree of renal tubulointerstitial injury. These effects were markedly attenuated by atorvastatin. Thus, DCs play a role in tubulointerstitial damages, atorvasttin can prevent renal tubulointerstitium from damage by inhibiting the P-selectin expression and DCs migration. [BMB reports 2010; 43(3): 188-192]
Ya-fang He,Li Hua,Yi-xiao Bao,Quan-hua Liu,Yi Chu,Ding-zhu Fang 대한천식알레르기학회 2013 Allergy, Asthma & Immunology Research Vol.5 No.6
Purpose: Interleukin (IL)-13, a Th2-type cytokine, plays a pivotal role in the pathogenesis of asthma through its direct effects on airway smoothmuscles. A naturally occurring IL-13 polymorphism, R110Q, is strongly associated with increased total serum IgE levels and asthma. In the presentstudy, we aimed to determine whether the IL-13 R110Q variant would display different biochemical properties or altered functions in comparisonwith wild-type (WT) IL-13 in cultured human bronchial smooth muscle cells (hBSMCs). Methods: Culture supernatants and cell proteins were collectedfrom cultured hBSMCs that were treated with 50 ng/mL IL-13 or IL-13 R110Q for 24 h. Eotaxin released into hBSMC culture medium was determinedby ELISA. The expression levels of the high-affinity IgE receptor (FcεRI) α-chain, smooth muscle-specific actin alpha chain (α-SMA), smoothmuscle myosin heavy chain (SmMHC), and calreticulin in the cells were measured on Western blots. Results: Compared with WT IL-13, treatmentwith the IL-13 R110Q variant resulted in a significant increase in eotaxin release as well as significant, although modest, increases in the expressionlevels of α-SMA, SmMHC, calreticulin, and FcεRI α-chain. Conclusions: The results of the present study suggenst that the IL-13 R110Q variantmay enhance enhanced functional activities in hBSMCs.
Fang-Ming Chen,Hsueh-Wei Chang,Sheau-Fang Yang,Ya-Fang Huang,Pei-Yung Nien,Yao-Tsung Yeh,Ming-Feng Hou 생화학분자생물학회 2012 Experimental and molecular medicine Vol.44 No.5
The mitogen-activated protein kinase (MAPK) phosphatase-1 (MKP-1) belongs to the MAPK cascades which are central to cell proliferation and apoptosis. The carcinogenic role of MKP-1 has been reported in many types of cancer but it has rarely been investigated in breast cancer. The present study was designed to evaluate the MKP-1 mRNA expression and its possible regulation by methylation of MKP-1 promoter in the model of several breast cancer cell lines and tissues as well as controls. Our data demonstrate MKP-1mRNA expression significantly decreased in five breast cancer cell lines compared to breast controls (P <0.01). Using the methylation-specific PCR (MSP) analysis,the unmethylated reaction (U) is dominant in both normal cell lines and benign breast tumors (100% vs. 86.2%), whereas the methylated reaction (M) is dominant in both breast cancer cell lines and invasive breast tumors (100% vs. 57.2%). In terms of methylation ratio (M/M+U), methylation level in MKP-1 promoter is significantly higher in the invasive breast tumor tissues (n = 152) than in benign breast tumor tissues (n = 29)(P < 0.0001). Assessing the methylation ratio of the promoter of MKP-1 gene to diagnose the breast malignancy (invasive vs. benign), the area under the receiver-operating characteristic (ROC) curve was 0.809(95% CI: 0.711-0.906, P < 0.001). The best performance for this prediction has a sensitivity of 76.32% and a specificity of 82.76% at the cutoff value of 0.38. Taken together, we firstly demonstrated that the promoter methylation of MKP-1 gene is a potential breast cancer biomarker for breast malignancy.
Saturation impulses for dynamically loaded structures with finite-deflections
Zhao, Ya-Pu,Yu, T.X.,Fang, J. Techno-Press 1995 Structural Engineering and Mechanics, An Int'l Jou Vol.3 No.6
The concept of "Saturation Impulse" for rigid, perfectly plastic structures with finite-deflections subjected to dynamic loading was put forward by Zhao, Yu and Fang (1994a). This paper extends the concept of Saturation Impulse to the analysis of structures such as simply supported circular plates, simply supported and fully clamped square plates, and cylindrical shells subjected to rectangular pressure pulses in the medium load range. Both upper and lower bounds of nondimensional saturation impulses are presented.
( Lin-ya Chiu ),( Ya-fang Wu ),( Ta-te Lin ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Greenhouses are built to promote crop growth, but the same environment also allows pests to reproduce and affect crops. Placing sticky papers in the greenhouse allows monitoring of the number of insect pests in order to predict the breakout of insects and to take appropriate action. Currently, the insect pests on sticky papers are counted and identified by manual inspection which is very time consuming and laborious. In this study, an automatic counting and recognition system for whiteflies and thrips using a convolutional neural network (CNN) approach was developed. The system makes use of a scanner to scan the images of sticky papers with insects and to recognize the objects as whiteflies or thrips. A graphical user interface (GUI) is provided; it was designed using Qt with an OpenCV image processing library. To apply CNN for object detection and recognition, we used the YOLO (You Only Look Once) real-time object detection tool. The sticky papers were collected from several greenhouses and preserved by using cellophane sheets as cover. They were then scanned to obtain high resolution images. Insect image samples were labeled from the scanned sticky paper images to train the CNN object detector model. The object detector model was further optimized in terms of iteration time, detection threshold level, and sample image size. The optimized average recognition accuracies were 86.30% and 90.45% for whitefly and thrip, respectively. This work can be used for automated insect sticky paper checking which is necessary for quarantine purposes.