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Kim, Jeongjun,Lee, Hyunghee,Lim, Jonghoon,Lee, Haerim,Yoon, Seolah,Shin, Soon Shik,Yoon, Michung Pergamon 2017 Food and Chemical Toxicology Vol. No.
<P><B>Abstract</B></P> <P>Increasing evidence indicates that angiogenesis inhibitors regulate obesity. This study aimed to determine whether the lemon balm extract ALS-L1023 inhibits diet-induced obesity and nonalcoholic fatty liver disease (NAFLD) in female ovariectomized (OVX) mice. OVX mice received a low fat diet (LFD), a high fat diet (HFD) or HFD supplemented with ALS-L1023 (ALS-L1023) for 15 weeks. HFD mice exhibited increases in visceral adipose tissue (VAT) angiogenesis, body weight, VAT mass and VAT inflammation compared with LFD mice. In contrast, all of these effects were reduced in ALS-L1023 mice compared with HFD mice. Serum lipids and liver injury markers were improved in ALS-L1023 mice. Hepatic lipid accumulation, inflammatory cells and collagen levels were lower in ALS-L1023 mice than in HFD mice. ALS-L1023 mice exhibited a tendency to normalize hepatic expression of genes involved in lipid metabolism, inflammation and fibrosis to levels in LFD mice. ALS-L1023 also induced Akt phosphorylation and increased Nrf2 mRNA expression in livers of obese mice. Our results indicate that the angiogenesis inhibitor ALS-L1023 can regulate obesity, hepatic steatosis and fibro-inflammation, in part through improvement of VAT function, in obese OVX mice. These findings suggest that angiogenesis inhibitors may contribute to alleviation of NAFLD in post-menopausal women with obesity.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Increasing evidence indicates that angiogenesis inhibitors regulate obesity. </LI> <LI> ALS-L1023 from lemon balm leaves reduced adipose tissue angiogenesis. </LI> <LI> We examined whether ALS-L1023 regulates obesity and NAFLD in ovariectomized mice. </LI> <LI> ALS-L1023 attenuated visceral obesity, hepatic steatosis and fibro-inflammation. </LI> <LI> Angiogenesis inhibitors may prevent NAFLD in post-menopausal women with obesity. </LI> </UL> </P>
Kim, Jeongjun,Lee, Haerim,Lim, Jonghoon,Oh, Jaeho,Shin, Soon Shik,Yoon, Michung MDPI 2017 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES Vol.18 No.4
<P>Similar to neoplastic tissues, growth and development of adipose tissue are thought to be angiogenesis-dependent. Since visceral adipose tissue (VAT) is associated with development and progression of nonalcoholic fatty liver disease (NAFLD), we hypothesized that angiogenesis inhibition would attenuate obesity-induced NAFLD. We fed C57BL/6J mice a low-fat diet (LFD, chow 10% kcal fat), a high-fat diet (HFD, 45% kcal fat) or HFD supplemented with the lemon-balm extract ALS-L1023 (HFD-ALS) for 15 weeks. ALS-L1023 reduced endothelial cell-tube formation in vitro. HFD increased VAT angiogenesis and induced weight gains including body weight, VAT mass and visceral adipocyte size compared with LFD. However, HFD-ALS led to weight reductions without affecting calorie intake compared with HFD. HFD-ALS also reduced serum ALT and AST levels and improved lipid metabolism. HFD-ALS suppressed steatosis, infiltration of inflammatory cells, and accumulation of collagen in livers. HFD-ALS modulated hepatic expression of genes involved in lipid metabolism, inflammation, fibrosis, antioxidation, and apoptosis. Concomitantly, analysis of VAT function revealed that HFD-ALS led to fewer CD68-positive macrophage numbers and lower expression of inflammatory cytokines compared with HFD. Our findings show that the anti-angiogenic herbal extract ALS-L1023 attenuates NAFLD by targeting VAT during obesity, suggesting that angiogenesis inhibitors could aid in the treatment and prevention of obesity-induced human NAFLD.</P>
Lim, Jonghoon,Lee, Haerim,Ahn, Jiwon,Kim, Jeongjun,Jang, Joonseong,Park, Yonghyun,Jeong, Birang,Yang, Heejung,Shin, Soon Shik,Yoon, Michung Elsevier 2018 Journal of Ethnopharmacology Vol.225 No.-
<P><B>Abstract</B></P> <P><B>Ethnopharmacological relevance</B></P> <P>The herbal composition Gyeongshingangjeehwan 18 (GGEx18), composed of <I>Rheum palmatum</I> L. (Polygonaceae), <I>Laminaria japonica</I> Aresch (Laminariaceae), and <I>Ephedra sinica</I> Stapf (Ephedraceae), is used as an antiobesity drug in Korean clinics. The constituents of GGEx18 have traditionally been reported to inhibit obesity and related metabolic diseases such as insulin resistance and dyslipidemia.</P> <P><B>Objective</B></P> <P>This study investigated the effects of GGEx18 on nonalcoholic fatty liver disease (NAFLD) in mice fed a high-fat diet (HFD) and the underlying cellular and molecular mechanisms involved.</P> <P><B>Methods</B></P> <P>C57BL/6 J mice were fed either a low-fat diet (LFD), an HFD, or an HFD supplemented with GGEx18 (125, 250, or 500 mg/kg of body weight/day). After 13 weeks, blood analyses, histology, immunohistochemistry, and real-time PCR were performed to assess NAFLD development in these mice.</P> <P><B>Results</B></P> <P>Mice fed an HFD had increases in body weight, epididymal adipose tissue mass, adipocyte size, and adipose expression of inflammation-related genes compared with those fed an LFD. These increases were ameliorated in mice treated with 500 mg/kg/day GGEx18 without affecting food consumption profiles. GGEx18 not only decreased serum levels of triglycerides, free fatty acids, and alanine aminotransferase, but also decreased hepatic lipid accumulation, numbers of mast cells and α-smooth muscle actin-positive cells, and collagen levels induced by an HFD. Consistent with the histological data, the hepatic expression of lipogenesis-, inflammation-, and fibrosis-related genes was lower, while hepatic fatty acid β-oxidation-related gene expression was higher, in mice receiving GGEx18 compared to mice fed only the HFD.</P> <P><B>Discussion and conclusion</B></P> <P>These results indicate that GGEx18 attenuates visceral obesity and NAFLD, in part by altering the expression of genes involved in hepatic steatosis and fibroinflammation in HFD-induced obese mice. These findings suggest that GGEx18 may be effective for preventing and treating NAFLD associated with visceral obesity.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
딥러닝을 활용한 이미지 기반 교량 구성요소 자동분류 네트워크 개발
조문원(Cho, Munwon),이재혁(Lee, Jae Hyuk),유영무(Ryu, Young-Moo),박정준(Park, Jeongjun),윤형철(Yoon, Hyungchul) 대한토목학회 2021 대한토목학회논문집 Vol.41 No.6
우리나라의 교량은 대부분이 건설된 지 20년 이상이 지나 현재 노후화로 인하여 많은 문제점이 제기되고 있으며, 교량의 안전점검은 대부분 전문 인력의 주관적인 평가로 이루어지고 있다. 최근 교량 안전점검의 데이터의 체계적인 관리를 위해 BIM 등을 활용한 데이터 기반의 유지관리기술들이 개발되고 있지만, BIM과 구조물의 유지관리 데이터를 연동을 위해서 영상정보를 직접 라벨링하는 수작업을 필요로한다. 따라서 본 논문에서는 이미지 기반의 자동 교량 구성요소 분류 네트워크를 개발하고자 한다. 본 연구에서 제안한 방법은 두 개의 CNN 네트워크로 구성되었다. 첫 번째 네트워크에서 특정 교량 이미지에 대하여 교량의 형식을 자동으로 분류한 뒤, 두 번째 네트워크에서 교량의 형식별로 구성요소를 분류함으로써 정확도와 효율성을 향상시키고자 한다. 본 연구에서 개발한 시스템을 검증한 결과, 847개의 교량 이미지에 대해서 98.1 %의 정확도로 교량의 구성요소를 자동으로 분류 할 수 있었다. 본 연구에서 개발한 교량의 구성요소 자동분류 기술은 향후 교량의 유지관리에 기여를 할 수 있을 것으로 기대된다. Most bridges in Korea are over 20 years old, and many problems linked to their deterioration are being reported. The current practice for bridge inspection mainly depends on expert evaluation, which can be subjective. Recent studies have introduced data-driven methods using building information modeling, which can be more efficient and objective, but these methods require manual procedures that consume time and money. To overcome this, this study developed an image-based automatic bridge component classification network to reduce the time and cost required for converting the visual information of bridges to a digital model. The proposed method comprises two convolutional neural networks. The first network estimates the type of the bridge based on the superstructure, and the second network classifies the bridge components. In avalidation test, the proposed system automatically classified the components of 461 bridge images with 96.6 % of accuracy. The proposed approach is expected to contribute toward current bridge maintenance practice.