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- 저자 : Byungyong Ahn (검색결과 5 건)
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Disruption of MLX Interacting Protein Protects Insulin Resistance
Byungyong Ahn 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
The mechanisms of insulin resistance in obesity are strongly related to accumulation of neutral lipid in non-adipose issues such as skeletal muscle and liver tissues. This observation is particularly well-documented in skeletal muscle. The mechanistic mechanisms of this linkage are not completely studied. We hypothesized that fundamental homeostatic mechanisms exist to coordinately control cellular lipid stores and insulin-mediated glucose uptake. To identify targets and pathways of MLX interacting protein (MondoA) gene in human skeletal myocytes, we performed whole genome RNA-seq and ChiP-seq experiments. Here, we demonstrate that the muscle-enriched transcription factor MondoA is glucose/fructose responsive and directs the transcription of genes involved in skeletal myocyte fatty acid desaturation, triacylglyeride (TAG) biosynthesis, glycogen storage, hexosamine biosynthesis, and suppression of insulin signaling. Moreover, muscle-specific MondoA deficient mice was generated in order to define the metabolic functions of MondoA in vivo. The muscle lipidome was analyzed using quantitative mass spectrometry to explore the changes in muscle lipid. Whole genome RNA-seq and ChIP-seq studies defined an array of MondoA target genes involved in insulin signaling, cellular nutrient storage pathways (triacylglyceride and glycogen synthesis), and hexosamine biosynthesis. In addition, Mice with muscle-specific genetic deletion of MondoA (msMondoA<SUP>-/-</SUP> mice) exhibited improved glucose tolerance and reduced muscle triacylglyeride (TAG) accumulation in the context of dietinduced obesity (DIO). Insulin-stimulated glucose uptake was increased in muscles isolated from DIO msMondoA<SUP>-/-</SUP> mice vs wild-type controls. These results identify MondoA as nutrient-regulated transcription factor that under normal physiological conditions serves a dynamic checkpoint function to prevent excess energy substrate flux into muscle catabolic pathways when myocyte nutrient balance is positive. However, in conditions of chronic caloric excess, this mechanism becomes persistently activated leading to progressive myocyte lipid storage and insulin resistance. We suggested that MondoA signaling is a candidate target for strategies aimed at reducing insulin resistance and cellular lipotoxicity.
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Signed Local Directional Pattern을 이용한 강력한 얼굴 표정인식
류병용(Byungyong Ryu),김재면(Jaemyun Kim),안기옥(Kiok Ahn),송기훈(Gihun Song),채옥삼(Oksam Chae) 대한전자공학회 2014 전자공학회논문지 Vol.51 No.6
본 논문에서는 얼굴 표정인식을 위한 새로운 지역 미세 패턴 기술 방법인 Signed Local Directional Pattern(SLDP)을 제안한다. SLDP는 얼굴 영상의 텍스쳐 정보를 표현하기 위해 에지 정보를 이용한다. 이는 기존의 방법들에 비해 뛰어난 구별 성능과 효율적인 코드 생성을 가능하게 한다. SLDP는 마스크 범위 이웃 화소들을 이용하여 에지 반응 값을 계산하고 이들 중 부호를 고려하여 에지 반응 값이 큰 에지 방향 정보를 가지고 만들어진다. 이는 기존 LDP에서 구별하지 못하던 비슷한 에지구조에 밝기 값이 반대인 지역 패턴을 구별할 수 있다. 본 논문에서는 얼굴 표정인식을 위해 얼굴 영상을 여러 영역으로 분할하고 각 영역으로부터 SLDP코드의 분포를 계산한다. 각 분포는 얼굴의 지역적인 특징을 나타내고 이들 특징을 연결해서 얼굴 전체를 나타내는 얼굴 특징 벡터를 생성한다. 본 논문에서는 생성된 얼굴 특징 벡터와 SVM(Support Vector Machine)을 이용해서 Cohn-Kanade 데이터베이스와 JAFFE데이터베이스에서 얼굴 표정인식을 수행했다. SLDP는 표정인식에서 기존 방법들보다 뛰어난 결과를 보여주었다. In this paper, we proposed a new local micro pattern, Signed Local Directional Pattern(SLDP). SLDP uses information of edges to represent the face’s texture. This can produce a more discriminating and efficient code than other state-of-the-art methods. Each micro pattern of SLDP is encoded by sign and its major directions in which maximum edge responses exist―which allows it to distinguish among similar edge patterns that have different intensity transitions. In this paper, we divide the face image into several regions, each of which is used to calculate the distributions of the SLDP codes. Each distribution represents features of the region and these features are concatenated into a feature vector. We carried out facial expression recognition with feature vectors and SVM(Support Vector Machine) on Cohn-Kanade and JAFFE databases. SLDP shows better classification accuracy than other existing methods.
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송기훈(Gihun Song),류병용(Byungyong Ryu),김재면(Jaemyun Kim),안기옥(Kiok Ahn),채옥삼(Oksam Chae) 대한전자공학회 2014 전자공학회논문지 Vol.51 No.7
전 세계적으로 방송사 및 영상 관련 기관들의 비디오 기반 시스템이 디지털로 전환되고 있다. 이송 과정에서 발생하는 디지털 드롭아웃은 콘텐츠의 질을 낮추게 만든다. 게다가 디지털 드롭아웃에 초점이 맞춰진 연구가 매우 미미하며 기존 방법들로 해결하기에는 한계점이 존재한다. 상기 이유로, 우리는 디지털 드롭아웃 블록이 가지는 독특한 패턴들의 주파수 특성을 강조할 수 있도록 이산 코사인 변환 (Discrete Cosine Transform) 계수를 기반으로 하는 새로운 특징표현 방법을 제안한다. 또한, 분류를 위해 특징 벡터를 효율적으로 활용할 수 있는 SVM 기반의 오류블록 분류방법을 활용한다. 더 나아가 이 방법은 기존 방법들의 프레임 간 연속성을 이용해 발생하는 문제점들을 극복하였다. 단독 프레임의 정보만을 이용함으로써 빠른 물체의 존재하에서도 동작이 가능하고, 특정 모델이나 추정이 필요하지 않아 최소의 복잡도 하에 오류 검출이 가능하다. The video-based system of the broadcasters and the video-related institutions have shifted from analogical to digital in worldwide. This migration process can generate a defect, digital dropout, in the quality of the contents. Moreover, there are limited researches focused on these kind of defects and those related have limitations. For that reason, we are proposing a new method for feature extraction emphasizing in the peculiar block pattern of digital dropout based on discrete cosine transform (DCT). For classification of error block, we utilize support vector machine (SVM) which can manage feature vectors efficiently. Further, the proposed method overcome the limitation of the previous one using continuity of frame by frame. It is using only the information of a single frame and works better even in the presence of fast moving objects, without the necessity of specific model or parameter estimation. Therefore, this approach is capable of detecting digital dropout only with minimal complexity.
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Jeong-Hun Gong,Yeonsoo Joe,Byungyong Ahn,Rina Yu 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
Dysregulation of autophagy-lysosomal pathway is closely associated with the neurodegeneration observed in synucleinopathies such as Parkinson’s disease. The protein kinase R-like endoplasmic reticulum (ER) kinase (PERK) can activate autophagy-lysosomal pathway, and reduces protein aggregation associated neuropathies. Filbertone, a main aroma compound of hazelnuts, elicits anti-obesity, anti-inflammatory, and neuroprotective properties. In this study, we investigated whether filbertone has a potential to alter the accumulation of α-synuclein in neuroblastoma cells. Filbertone increased expression of autophagy markers and decreased α-synuclein accumulation in neuroblastoma cells. Filbertone promoted the activation of PERK-eIF2-ATF4 axis in the neuroblastoma cells. Using siRNA against TFEB, we confirmed that filbertone-induced autophagy was mediated through TFEB nuclear translocation. These results indicate that filbertone activates autophagy-lysosomal pathway by acting as a PERK activator, leading to the reduction of α-synuclein accumulation in the neuroblastoma cells. Filbertone may have a potential to ameliorate synucleinopathies in Parkinson’s disease.
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