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Katsuhiro Yoshimura,1,2 Yuzo Suzuki,1,2 Tomohiro Uto,2 Jun Sato,2 Shiro Imokawa,2 Takafumi Suda1 1Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan; 2Department of Respiratory Medicine, Iwata City Hospital, Iwata, Japan Background: Pulmonary vascular remodeling is essential for understanding the pathogenesis of chronic obstructive pulmonary disease (COPD). The total cross-sectional area (CSA) of small pulmonary vessels has been reported to correlate with the pulmonary artery pressure, and this technique has enabled the assessment of pulmonary vascular involvements. We investigated the contribution of morphological alterations in the pulmonary vessels to severe acute exacerbation of COPD (AE-COPD).Methods: This study enrolled 81 patients with COPD and 28 non-COPD subjects as control and assessed the percentage of CSA (%CSA) less than 5 mm2 (%CSA

Shape is one of the most important traits of agricultural products due to its relationships with the quality, quantity, and value of the products. For strawberries, the nine types of fruit shape were defined and classified by humans based on the sampler patterns of the nine types. In this study, we tested the classification of strawberry shapes by machine learning in order to increase the accuracy of the classification, and we introduce the concept of computerization into this field. Four types of descriptors were extracted from the digital images of strawberries: (1) the Measured Values (MVs) including the length of the contour line, the area, the fruit length and width, and the fruit width/length ratio; (2) the Ellipse Similarity Index (ESI); (3) Elliptic Fourier Descriptors (EFDs), and (4) Chain Code Subtraction (CCS). We used these descriptors for the classification test along with the random forest approach, and eight of the nine shape types were classified with combinations of MVs + CCS + EFDs. CCS is a descriptor that adds human knowledge to the chain codes, and it showed higher robustness in classification than the other descriptors. Our results suggest machine learning's high ability to classify fruit shapes accurately. We will attempt to increase the classification accuracy and apply the machine learning methods to other plant species. [ABSTRACT FROM AUTHOR]

Eriobotryae folium (EF), the dried leaves of Eriobotrya japonica (Thunb.) Lindl. has been traditionally used to treat various diseases such as chronic bronchitis, cough, inflammation, skin diseases, and diabetes. In this study, we examined the effects of Eriobotryae folium extract (EFE) on lipopolysaccharide (LPS)-induced production of nitric oxide (NO) and prostaglandin E2(PGE2) in RAW264 murine macrophage cells. EFE suppressed LPS-induced NO and PGE2 production in a dose-dependent manner. Consistent with these observations, EFE reduced the LPS-induced expressions of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) at both protein and mRNA levels. Furthermore, EFE significantly inhibited LPS-induced NF-κB binding activity, which was associated with the inhibition of IκB-α degradation. EFE also attenuated LPS-induced phosphorylation of mitogen-activated protein kinases (MAPKs) including extracellular signal-regulated kinase (ERK), p38 MAPK and c-Jun N-terminal kinase (JNK). These results suggest that the anti-inflammatory properties of EF might result from inhibition of iNOS and COX-2 expression through the downregulation of NF-κB activation and MAPK phosphorylation in LPS-stimulated RAW264 cells. [ABSTRACT FROM AUTHOR]

A new eastern blotting technique has been established for ginsenoside Re (G-Re) contained in American ginseng berry pulp extracts. G-Re in American ginseng berry pulp was extracted using 100% methanol, 100% ethanol, 50% aqueous methanol, and 50% aqueous ethanol. The combined crude extracts were applied onto a polyethersulfone membrane and developed using the methanol-water-acetic acid solvent system (45:55:1 v/v). Separated components were immunostained using anti-G-Re monoclonal antibody. G-Re was first specifically detected and then quantitatively analyzed using NIH Imaging software. We also confirmed that the most suitable solvent was 50% aqueous methanol for extracting G-Re from American ginseng berry pulp. (c) 2009 Elsevier B.V. All rights reserved. [ABSTRACT FROM AUTHOR]

Total sennosides concentration is a very important factor when rhubarb and senna will be used as crude drugs. However, one-step analytical technique for total sennosides has not been reported except HPLC. An enzyme-linked immunosorbent assay (ELISA) for total sennosides concentration by using the combination of anti-sennoside A (SA) and anti-sennoside B (SB) monoclonal antibodies (MAbs) in a single assay has been investigated. Total sennosides concentration in rhubarb and senna samples determined by newly developed assay system showed good agreement with those analyzed by ELISA using anti-SA MAb and anti-SB MAb, respectively. [ABSTRACT FROM AUTHOR]