Soyoung Park

Oleuropein attenuates hepatic steatosis induced by high-fat diet in mice

BACKGROUND & AIMS Oleuropein, a secoiridoid derived from olives and olive oil, has been known to possess antimicrobial, antioxidative, and anticancer activities. The purpose of the present study was to determine whether oleuropein has a protective effect against hepatic steatosis induced by a high fat diet (HFD) and to elucidate its underlying molecular mechanisms in mice. METHODS Male C57BL/6N mice were fed a normal diet (ND), HFD, or an oleuropein-supplemented diet (OSD) for 10 weeks. The plasma and hepatic lipid levels were determined, and the hepatic gene and protein expression levels were analysed via RT-PCR and Western blotting, respectively. RESULTS The supplementation of HFD with oleuropein reversed the HFD-induced increases in liver weight along with plasma and hepatic lipid levels in mice. The expression of Wnt10b inhibitor genes, such as secreted firizzed-related sequence protein 5 and dickkopf homolog 2, was downregulated, whereas the β-catenin protein expression was upregulated in the liver of OSD-fed mice compared to HFD-fed mice. Fibroblast growth factor receptor 1 (FGFR1), phosphoextracellular-signal-regulated kinase 1/2, cyclin D, and E2F transcription factor 1, along with several key transcription factors and their target genes involved in adipogenesis, were downregulated by oleuropein. OSD-fed mice exhibited decreased expression of the toll-like-receptor-(TLR)-mediated signaling molecules (TLR2, TLR4, and myeloid differentiation primary-response gene 88) and proinflammatory cytokines, in their livers, as compared to HFD mice. CONCLUSIONS These results suggest that the protective effects of oleuropein against HFD-induced hepatic steatosis in mice appear to be associated with the Wnt10b- and FGFR1-mediated signaling cascades involved in hepatic lipogenesis, along with the TLR2- and TLR4-mediated signaling implicated in hepatic steatosis.

Carvacrol prevents diet-induced obesity by modulating gene expressions involved in adipogenesis and inflammation in mice fed with high-fat diet☆

Carvacrol (2-methyl-5-isopropylphenol) is a monoterpene phenolic constituent of the essential oil produced by numerous aromatic plants and spices. The main objective of this study was to investigate effects of carvacrol in mice fed with a high-fat diet (HFD), which is an important model of obesity, and to study the potential underlying mechanisms focusing on the gene expression involved in adipogenesis, thermogenesis and inflammation. Male C57BL/6N mice were divided in three groups: those who received a normal diet, those fed with HFD and those fed with 0.1% carvacrol-supplemented diet (CSD). Body weight, visceral fat-pads and biochemical parameters were determined. Adipose tissue genes and protein expression levels were also assessed through reverse transcription polymerase chain reaction and Western blot analyses. Mice fed with CSD exhibited significantly reduced body weight gain, visceral fat-pad weights and plasma lipid levels compared with mice fed with HFD. Furthermore, HFD-induced up-regulations of adipose tissue genes and protein associated with the signaling cascades that lead to adipogenesis and inflammation were significantly reversed by dietary carvacrol supplementation. In summary, the major novel finding in our experimental conditions is that carvacrol prevented obesity in HFD-fed mice by decreasing body weight, visceral fat-pad weights and lowering plasma lipid levels. The evidence obtained in this study suggests that carvacrol appears to inhibit visceral adipogenesis probably by suppressing bone morphogenic protein-, fibroblast growth factor 1- and galanin-mediated signaling, and it also attenuates the production of pro-inflammatory cytokines in visceral adipose tissues by inhibiting toll like receptor 2 (TLR2)- and TLR4-mediated signaling.

Indole-3-carbinol prevents diet-induced obesity through modulation of multiple genes related to adipogenesis, thermogenesis or inflammation in the visceral adipose tissue of mice

Indole-3-carbinol (I3C) is a compound found in high concentrations in Brassica family vegetables, including broccoli, cauliflower and cabbage, and is regarded as a promising chemopreventive agent against various cancers. This study assesses the protective effect of I3C against diet-induced obesity in mice. Mice were randomly grouped to receive either a normal diet, high-fat (40% energy as fat) diet (HFD) or I3C-supplemented diet (1 g/kg diet) for 10 weeks. I3C supplementation significantly ameliorated HFD-induced increases in body weight gain, visceral fat pad weights and plasma lipid levels. The visceral adipose tissue mRNA levels of uncoupling proteins 1 and 3, crucial factors of thermogenesis, and their regulators such as sirtuin 1, peroxisome proliferator-activated receptor (PPAR) α and PPARγ coactivator 1α, which were down-regulated by HFD, were normalized by supplementation with I3C. In contrast, I3C supplementation significantly decreased expression levels of a key adipogenic transcription factor, PPARγ2, and its target genes, such as leptin and adipocyte protein 2, in the visceral adipose tissue of mice maintained on the HFD. Furthermore, HFD-induced up-regulation in mRNA levels of inflammatory cytokines (tumor necrosis factor α, interferon β and interleukin 6) was significantly ameliorated by I3C. These findings suggest that I3C has a potential benefit in preventing obesity and metabolic disorders, and the action for I3C in vivo may involve multiple mechanisms including decreased adipogenesis and inflammation, along with activated thermogenesis.

Industrial x-ray inspection system with improved image characterization using blind deblurring based on compressed-sensing scheme

ABSTRACT An industrial x-ray inspection system has recently established by our group to examine large and dense objects available in industry. It consists of an industrial x-ray generator having a tube voltage of 450 kV and a focal spot size of 1 mm, a flat-panel detector having a pixel size of 200 µm and a pixel dimension of 2048 × 2048, and a mechanical support for object’s installation. For improving the image characteristics of the system, an effective blind deblurring method based on compressed-sensing scheme is reported. Blind deblurring is the image restoration by estimating the original image and the degradation mechanism using partial information on both. Compressed-sensing is a relatively new mathematical theory for solving the inverse problems. Systematic measurements were performed and the image characteristics of the restored images were quantitatively evaluated using several image-quality indicators. The results demonstrate that the deblurring method is effective for industrial x-ray inspection systems.

Feasibility Study for Improving the Image Characteristics in Digital Tomosynthesis (DTS) Using a Compressed-Sensing (Cs)-Based Pre-Deblurring Scheme

ABSTRACT Digital tomosynthesis (DTS) has been widely used in both industrial nondestructive testing and medical x-ray imaging as a popular multiplanar imaging modality. However, although it provides some of the tomographic benefits of computed tomography (CT) at reduced dose and imaging time, the image characteristics are relatively poor due to blur artifacts originated from incomplete data sampling for a limited angular range and also aspects inherent to imaging system, including finite focal spot size of the x-ray source, detector resolution, etc. In this work, in order to overcome these difficulties, we propose an intuitive method in which a compressed-sensing (CS)-based deblurring scheme is applied to the projection images before common DTS reconstruction. We implemented the proposed deblurring algorithm and performed a systematic experiment to demonstrate its viability for improving the image characteristics in DTS. According to our results, the proposed method appears to be effective for the blurring problems in DTS and seems to be promising to our ongoing application to x-ray nondestructive testing.

Erratum to: Branch length similarity entropy-based descriptors for shape representation (Journal of the Korean Physical Society, (2017), 71, 10, (727-732), 10.3938/jkps.71.593)

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Image reconstruction in region-of-interest (or interior) digital tomosynthesis (DTS) based on compressed-sensing (CS)

BACKGROUND AND OBJECTIVE Digital tomosynthesis (DTS) based on filtered-backprojection (FBP) reconstruction requires a full field-of-view (FOV) scan and relatively dense projections, which results in high doses for medical imaging purposes. To overcome these difficulties, we investigated region-of-interest (ROI) or interior DTS reconstruction where the x-ray beam span covers only a small ROI containing a target area. METHODS An iterative method based on compressed-sensing (CS) scheme was compared with the FBP-based algorithm for ROI-DTS reconstruction. We implemented both algorithms and performed a systematic simulation and experiments on body and skull phantoms. The image characteristics were evaluated and compared. RESULTS The CS-based algorithm yielded much better reconstruction quality in ROI-DTS compared to the FBP-based algorithm, preserving superior image homogeneity, edge sharpening, and in-plane resolution. The image characteristics of the CS-reconstructed images in ROI-DTS were not significantly different from those in full-FOV DTS. The measured CNR value of the CS-reconstructed ROI-DTS image was about 12.3, about 1.9 times larger than that of the FBP-reconstructed ROI-DTS image. CONCLUSIONS ROI-DTS images of substantially high accuracy were obtained using the CS-based algorithm and at reduced imaging doses and less computational cost, compared to typical full-FOV DTS images. We expect that the proposed method will be useful for the development of new DTS systems.

Investigation of reconstruction quality in digital breast tomosynthesis (DBT) based on compressed-sensing algorithm and synthesized 2D breast image

Digital breast tomosynthesis (DBT) is most commonly used in three-dimensional (3D) mammography because it provides a 3D view, so suspected tumors and massed in the breast can be detected with a higher degree of accuracy. Conventional DBT reconstruction methods are based on the filtered-backprojection (FBP) with an additional deblurring filter. However, this approach usually requires dense projection data with low noise levels for acceptable reconstruction quality. In this work, instead, we investigated a state-of-the-art image reconstruction based on the compressed-sensing (CS) theory for potential application to accurate, low-dose DBT. We implemented a CS-based algorithm as well as a FBP-based algorithm for DBT reconstruction and performed a systematic experiment to verify the usefulness of the algorithm by comparing its reconstruction quality to the FBP-based one. We successfully obtained DBT images of substantially high accuracy by using the CS-based algorithm and synthesized a 2D breast image from the CS-reconstructed DBT images, which showed heightened details retained from DBT images, indicating superior performance compared to traditional 2D breast image alone.