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Anti-inflammatory Effects of Cowpea (Vigna sinensis K.) Seed Extracts and Its Bioactive Compounds
( Sang Min Lee ),( Tae Hoon Lee ),( En Ji Cui ),( Nam In Baek ),( Seong Gil Hong ),( In Sik Chung ),( Ji Young Kim ) 한국응용생명화학회 2011 Applied Biological Chemistry (Appl Biol Chem) Vol.54 No.5
Anti-inflammatory effects of methanol extract and solvent fractions of cowpea (Vigna sinensis K.; VS) seeds and the isolated compounds were evaluated. Ethyl acetate and n-butanol fractions of VS seeds were found to strongly inhibit nitric oxide (NO) production, and inducible nitric oxide synthase (iNOS) mRNA and protein expressions in lipopolysaccharides (LPS)-stimulated RAW264.7 macrophage cells. Compounds inhibiting NO production in RAW264.7 cells were isolated and identified via successive partitioning and spectroscopic characterization. The active compounds included oleanolic acid, linolenic acid (LnA), linoleic acid (LA), 7-ketositosterol,stigmasterol-glucose (glc), and soyasaponin 1. Among the isolated compounds, LnA and LA were found to inhibit NO production significantly. Contents of LnA and LA in VS seeds were 2.034 and 1.162 mg/g on dry weight basis, respectively. Reverse transcriptase-polymerase chain reaction (RT-PCR) and Western blot analysis show inhibitory effects of these compounds. LnA and LA repressed mRNA and protein levels of iNOS in LPS-stimulated cells. LA suppressed the production of pro-inflammatory cytokines such as interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF)-α in LPS-induced macrophage cells. Thus, VS was found to exhibit strong antiinflammatory activity, which may be partly attributed to the polyunsaturated fatty acids such as LnA and LA.
A new pregnane hexaglycoside from Adonis multiflora
Baek, Yoon-Su,Jung, Jae-Woo,Lee, Sung-Hee,Baek, Nam-In,Park, Ji-Hae The Korean Society for Applied Biological Chemistr 2015 Applied Biological Chemistry (Appl Biol Chem) Vol.58 No.6
A new pregnane hexaglycoside, named amurensioside L (1), was isolated from the whole plant of Adonis multiflora. Amurensioside L (1) emerged to be new pregnane hexaglycoside which we fully spectroscopically characterized. The chemical structure of compound 1 was established as $14{\beta}$,20R-epoxy-$3{\beta}$-hydroxypregna-4,6-dien-18-oic acid-20-lactone 3-O-${\beta}$-$\small{D}$-glucopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-$\small{D}$-diginopyranosyl-($1{\rightarrow}4$)-O-${\beta}$-$\small{D}$-cymaropyranosyl-($1{\rightarrow}4$)-O-${\beta}$-$\small{D}$-cymaropyranosyl-($1{\rightarrow}4$)-O-${\beta}$-$\small{D}$-oleandropyranosyl-($1{\rightarrow}4$)-O-${\beta}$-$\small{D}$-oleandropyranoside on the basis of spectroscopic analyses including nuclear magnetic resonance spectrometry, high-resolution fast atom bombardment mass spectrometry, and infrared spectroscopy.
Anticonvulsant Compounds from the Wood of Caesalpinia sappan L.
Baek, Nam-In,Jeon, Seong-Gyu,Ahn, Eun-Mi,Hahn, Jae-Taek,Bahn, Jae-Hoon,Jang, Joong-Sik,Cho, Sung-Woo,Park, Jin-Kyu,Choi, Soo-Young The Pharmaceutical Society of Korea 2000 Archives of Pharmacal Research Vol.23 No.4
80% Aqueous MeOH extracts from the wood of Caesalpinia sappan, which showed remarkable anticonvulsant activity, were fractionated using EtOAc, n-BuOH, and $H_2$O. Among them, the EtOAc fraction significantly inhibited the activities of two GABA degradative enzymes, succinic semialdehyde dehydrogenase (SSADH) and succinic semialdehyde reductase (SSAR). Repeated column chromatographies for the fraction guided by activity test led to the isolation of the two active principal components. Their chemical structures were determined to be sappanchalcone and brazilin based on spectral data. The pure compounds, sappanchalcone (1) and brazilin (2), inactivated the SSAR activities in a dose dependent manner, whereas SSADH was inhibited partially by sappanchalcone and not by brazilin.
Nam, Jung Soo,Baek, Dae Seong,Jo, Hyoung Han,Song, Jun Yeob,Ha, Tae Ho,Lee, Sang Won SAGE Publications 2016 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGIN Vol.230 No.7
<P>In this article, the condition diagnosis and form error prediction models for lens injection moulding process are developed based on a response surface method by using features extracted from in-process cavity pressure signals. In the lens injection moulding experiments, cavity pressure signals are captured by pressure sensors embedded in a lens mould, and form errors of manufactured lenses are measured afterwards. Then, three features such as filling point, maximum pressure and inflection point pressure are identified from the measured cavity pressure profile, and they are used to formulate the response surface functions for each injection moulding condition. In addition, the response surface functions for the lens form error with the input variables of the above-mentioned three features are also formulated. It is reported that the overall average accuracies for the lens injection moulding condition diagnosis and form error estimation are better than 97% and 80%, respectively, in the actual industrial site.</P>