Effects of Acanthopanax senticosus Polysaccharide Supplementation on Growth Performance, Immunity, Blood Parameters and Expression of Pro-inflammatory Cytokines Genes in Challenged Weaned Piglets

Han, Jie,Bian, Lianquan,Liu, Xianjun,Zhang, Fei,Zhang, Yiran,Yu, Ning Asian Australasian Association of Animal Productio 2014 Animal Bioscience Vol.27 No.7

To investigate the effect of dietary Acanthopanax senticosus polysaccharide (ASPS) on growth performance, immunity, blood parameters and mRNA expression of pro-inflammatory cytokines in immunologically challenged piglets, an experiment employing $2{\times}2$ factorial arrangement concerning dietary ASPS treatment (0 or 800 mg/kg) and immunological challenge (lipopolysaccharide [LPS] or saline injection) was conducted with 64 crossbred piglets (weaned at 28 d of age, average initial body weight of $7.25{\pm}0.21kg$) assigned to two dietary ASPS treatments with 8 replicates of 4 pigs each. Half of the piglets of per dietary treatment were injected with LPS or saline on d 14. Blood samples were obtained at 3 h after immunological injection on d 14 and piglets were slaughtered to obtain spleen samples on d 21. Dietary ASPS did not affect average daily gain (ADG) (p = 0.634), average daily feed intake (ADFI) (p = 0.655), and gain:feed (p = 0.814) prior to LPS challenge. After LPS challenge, for LPS-challenged pigs those fed ASPS had higher ADG and ADFI than the non-supplemented group (p<0.05), and an interaction between $LPS{\times}ASPS$ was observed on the two indices (p<0.05). Dietary ASPS improved lymphocyte proliferation among saline-injected and LPS-injected pigs (p<0.05). Interaction between $LPS{\times}ASPS$ was also revealed on lymphocyte proliferation (p<0.05). Circulatory concentration of IgG was influenced neither by ASPS (p = 0.803) or LPS (p = 0.692), nor their interaction (p = 0.289). Plasma concentration and spleen mRNA expression of interleukin-1beta (IL-$1{\beta}$), interleukin-6 (IL-6), and tumor necrosis factor (TNF)-${\alpha}$ were induced to increase (p<0.05) by LPS challenge, in contrast, these indices were decreased by dietary ASPS (p<0.05), and interactions were found on these cytokines (p<0.05). For LPS-challenged pigs, dietary ASPS also reduced the circulating concentration and spleen mRNA expression of IL-$1{\beta}$, IL-6 as well as TNF-${\alpha}$ (p<0.05). The interaction between $LPS{\times}ASPS$ was also observed on the circulating concentration of insulin-like growth factor-I, ${\alpha}$-acid glycoprotein (${\alpha}$-AGP), nonesterified fatty acid, and glucose (p<0.05). The results of this study demonstrate that dietary ASPS can modulate the release of pro-inflammatory cytokines during immunological challenge, which might enable piglets to achieve better growth performance.

최적 엑티비티 가속대안 선정 방법론

리현군(LI, XIANJUN),곽한성(Gwak, Han-Seong),이동은(Lee, Dong-Eun) 대한건축학회 2017 大韓建築學會論文集 : 構造系 Vol.33 No.6

Project schedule compression (or crashing) is frequently required at the planning and construction stages. It is an important technique for all construction participants. Existing studies solved many aspects of this issue. They improved the practicality of the crashing method by considering the diversity and uncertainty of the time-cost function of an activity. This paper presents a system called optimal activity acceleration methods selection system (OAAM). The method generates an activity time-cost function using historical activity acceleration data which administrates overmanning and overtime at job site, defines the productivity efficiency functions which model the effects of overmanning and overtime on activity duration and cost, calculates adjusted activity time and cost attributed to activity acceleration, and identifies optimal activity acceleration alternatives for crashing. It implements the time-cost tradeoff (TCT) using genetic algorithm (GA) and identifies the most economical combination of activity acceleration alternatives to achieve a target schedule compression. A case study is presented to verify the validity of the method.

The Nedd8-activating enzyme inhibitor MLN4924 suppresses colon cancer cell growth via triggering autophagy

Lv, Yongzhu,Li, Bing,Han, Kunna,Xiao, Yang,Yu, Xianjun,Ma, Yong,Jiao, Zhan,Gao, Jianjun The Korean Society of Pharmacology 2018 The Korean Journal of Physiology & Pharmacology Vol.22 No.6

Neddylation is a post-translational protein modification process. MLN4924 is a newly discovered pharmaceutical neddylation inhibitor that suppresses cancer growth with several cancer types. In our study, we first investigated the effect of MLN4924 on colon cancer cells (HCT116 and HT29). MLN4924 significantly inhibited the neddylation of cullin-1 and colon cancer cell growth in a time and dose-dependent manner. MLN4924 induced G2/M cell cycle arrest and apoptosis in HCT116 and HT29 cells. Moreover, MLN4924 also triggered autophagy in HCT116 and HT29 cells via suppressing the PI3K/AKT/mTOR pathway. Inhibiting autophagy by autophagy inhibitor 3-MA or ATG5 knockdown reversed the function of MLN4924 in suppressing colon cancer cell growth and cell death. Interestingly, MLN4924 suppresses colon cell growth in a xenograft model. Together, our finding revealed that blocking neddylation is an attractive colon cancer therapy strategy, and autophagy might act as a novel anti-cancer mechanism for the treatment of colon cancer by MLN4924.

경제적 도징을 위한 최적기어단수 선정 방법

박영준(Park, Young Jun),곽한성(Gwak, Han Seong),리현군(Li, Xianjun),배상희(Bae, Sang Hee),이동은(Lee, Dong Eun) 대한토목학회 2016 대한토목학회 학술대회 Vol.2016 No.10

The Nedd8-activating enzyme inhibitor MLN4924 suppresses colon cancer cell growth via triggering autophagy

Yongzhu Lv,Bing Li,Kunna Han,Yang Xiao,Xianjun Yu,Yong Ma,Zhan Jiao,Jianjun Gao 대한생리학회-대한약리학회 2018 The Korean Journal of Physiology & Pharmacology Vol.22 No.6

Neddylation is a post-translational protein modification process. MLN4924 is a newly discovered pharmaceutical neddylation inhibitor that suppresses cancer growth with several cancer types. In our study, we first investigated the effect of MLN4924 on colon cancer cells (HCT116 and HT29). MLN4924 significantly inhibited the neddylation of cullin-1 and colon cancer cell growth in a time and dose-dependent manner. MLN4924 induced G2/M cell cycle arrest and apoptosis in HCT116 and HT29 cells. Moreover, MLN4924 also triggered autophagy in HCT116 and HT29 cells via suppressing the PI3K/AKT/mTOR pathway. Inhibiting autophagy by autophagy inhibitor 3-MA or ATG5 knockdown reversed the function of MLN4924 in suppressing colon cancer cell growth and cell death. Interestingly, MLN4924 suppresses colon cell growth in a xenograft model. Together, our finding revealed that blocking neddylation is an attractive colon cancer therapy strategy, and autophagy might act as a novel anti-cancer mechanism for the treatment of colon cancer by MLN4924.

Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model

( Xibin Jia ),( Chen Qian ),( Zhenghan Yang ),( Hui Xu ),( Xianjun Han ),( Hao Ren ),( Xinru Wu ),( Boyang Ma ),( Dawei Yang ),( Hong Min ) 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.1

Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively.