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BMB Reports : Poly(ADP-ribose) protects vascular smooth muscle cells from oxidative DNA damage
( Chao Zhang ),( Tao Luo ),( Shijun Cui ),( Yongquan Gu ),( Chunjing Bian ),( Yibin Chen ),( Xiaochun Yu ),( Zhonggao Wang ) 생화학분자생물학회(구 한국생화학분자생물학회) 2015 BMB Reports Vol.48 No.6
Vascular smooth muscle cells (VSMCs) undergo death during atherosclerosis, a widespread cardiovascular disease. Recent studies suggest that oxidative damage occurs in VSMCs and induces atherosclerosis. Here, we analyzed oxidative damage repair in VSMCs and found that VSMCs are hypersensitive to oxidative damage. Further analysis showed that oxidative damage repair in VSMCs is suppressed by a low level of poly (ADP-ribosyl)ation (PARylation), a key post-translational modification in oxidative damage repair. The low level of PARylation is not caused by the lack of PARP-1, the major poly(ADP-ribose) polymerase activated by oxidative damage. Instead, the expression of poly(ADP-ribose) glycohydrolase, PARG, the enzyme hydrolyzing poly(ADP-ribose), is significantly higher in VSMCs than that in the control cells. Using PARG inhibitor to suppress PARG activity facilitates oxidative damage-induced PARylation as well as DNA damage repair. Thus, our study demonstrates a novel molecular mechanism for oxidative damage-induced VSMCs death. This study also identifies the use of PARG inhibitors as a potential treatment for atherosclerosis. [BMB Reports 2015; 48(6): 354-359]
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Xiaohui Zhang,Xuquan Ji,Junchen Wang,Yubo Fan,Chunjing Tao 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.2
real-time for laparoscopic image-guided navigation. The stereo vision method for intraoperative tissue 3D reconstructionhas the most potential for clinical development benefiting from its high reconstruction accuracy and laparoscopy compatibility. However, existing stereo vision methods have difficulty in achieving high reconstruction accuracy in real time. Also,intraoperative tissue reconstruction results often contain complex background and instrument information that preventsclinical development for image-guided systems. Taking laparoscopic partial nephrectomy (LPN) as the research object, thispaper realizes a real-time dense reconstruction and extraction of the kidney tissue surface. The central symmetrical Censusbased semi-global block stereo matching algorithm is proposed to generate a dense disparity map. A GPU-based pixel-bypixelconnectivity segmentation mechanism is designed to segment the renal tissue area. An in-vitro porcine heart, in-vivoporcine kidney and offline clinical LPN data were performed to evaluate the accuracy and effectiveness of our approach. The algorithm achieved a reconstruction accuracy of ± 2 mm with a real-time update rate of 21 fps for an HD image size of960 × 540, and 91.0% target tissue segmentation accuracy even with surgical instrument occlusions. Experimental resultshave demonstrated that the proposed method could accurately reconstruct and extract renal surface in real-time in LPN. Themeasurement results can be used directly for image-guided systems. Our method provides a new way to measure geometricinformation of target tissue intraoperatively in laparoscopy surgery.
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