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OBJECTIVE@#To isolate the phenolic amides from the dried bulbs of Allium chinense and investigate their myocardium protective activities.@*METHODS@#The chemical constituents were isolated and purified by combining with silica gel column, Sephadex LH-20 column, HPLC and other chromatography techniques. Their structures were elucidated by NMR techniques and mass spectrometry. The isolated compounds were evaluated to determine their protective effect for myocardium cells in vitro.@*RESULTS@#Two new phenolic amides, namely, alichinemide I ( 1) and alichinemide II ( 2), and six konwn amides were isolated from the dried bulbs of A. chinense. The structures of compounds 3- 8 were identified as 3-indolcarbaldehyde ( 3), 1-(2-aminophenyl)urea ( 4), 2,3,4,9-tetrahydro-1H-pyrido[3,4-b]indole-3-carboxylic acid ( 5), N-trans-feruloyltyramine ( 6), N-trans-p-coumaroyltyramine ( 7), and N-(3,4-dimethoxyphenethyl) acetamide ( 8). Compound 3 (50 μmol/L) showed significant inhibitory effect on the damage of H9c2 myocardial cells induced by H2O2in vitro.@*CONCLUSION@#Compounds 1 and 2 were new phenolic amides. Compound 3 could be one of the potential myocardium protective constituents of A. chinense.
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Objective: To isolate and identify the undescribed compounds from the fruits of Cinnamomum migao and evaluate its nitric oxide inhibition potential. Methods: The chromatographic techniques of silica gel, Sephadex, and HPLC were used for isolation and purification of the compounds, while HR-ESI-MS, 1D NMR, 2D NMR, ECD, and X-ray diffraction techniques were used to characterize and confirm the isolated compounds. Moreover, the anti-inflammatory activity of the isolated compounds was carried out to check inhibitory potential against the production of nitric oxide with RAW264.7 cells stimulated by LPS. Results: Camganoid A (1), a novel sesquiterpene possessing an unprecedented skeleton, and camganoid B (2), containing a unique eight-membered sesquiterpene moiety with a new carbon skeleton, were isolated and identified from the fruits of C. migao. The absolute configurations of 1 and 2 were confirmed by single crystal X-ray diffraction and electronic circular dichroism (ECD) calculations. Among these compounds, compound 1 exhibited potent inhibitory activity against the production of nitric oxide with IC
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Diseases of glucose and lipid metabolism disorder,presented rather complicated pathological mechanism,often with clinical pattern of multiple concurrent diseases.Therefore,the traditional single-disease based on treatment methods need improving.In view of plenty of clinical practice,theatrical and fundamental researches,the pathological mechanisms of some chronic disorders,such as hyperlipidemia,nonalcoholic fatty liver disease,type 2 diabetes,hypertension,atherosclerosis and severe cardiovascular complications,resulted from the impairment in the metabolism of glucose and lipid were investigated using the method of integrated Chinese and western medicine.Overall,the features of these diseases and their common characteristics were discovered,and accordingly we defined the new concept of glucolipid metabolic disease (GLMD) and put forward the concept of pivot liver of metabolic regulation system.In addition,we developed the therapeutic strategy of modulating liver,starting pivot and cleaning turbidity,for the comprehensive and integrated treatment and prevention of these diseases.The theory of GLMD shared the critical characteristics with precision medicine,taking its own specialty.Finally,the content and approaches for the research of GLMD were proposed,and some essential and core fields in the precision medical research for GLMD were profoundly analyzed and prospected.
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Objective To innovate an early, rapid and efficient approach to the pmgnestic evaluation of sep-sis in order to lower the mortality. Method Forty-five septic rats, induced by cecal ligation and puncture, were divided into surviving group (n=23) and non-survival group (n=22) on six days after onset of sepsis. Serum samples were taken from septic and sham-operated rats (n=25) at 12 hours after surgery. HPLC/MS assays were performed to acquire the serum metabolic profiles, and radial basis function neural network (RBFNN) was em-ployed to build predictive model for prognostic evaluation of sepsis. Results The principal component analysis al-lows differentiating the rots of survive,non-survive and sham-operated from one another in respect of the pathologic characteristics. Six metabolites, linolenic acid, linoleic acid, oleic acid, stearic acid, docosahexaenoic acid and do-cosapentaenoic acid, related to the outcomes of septic rats were then structurally identified. A RBFNN model for outcome predication was built based upon the metabolic profile data from rat sera with the sensitivity of (96.1 ±3.6)% (n=10) and specificity of (91.0±4.3)% (n=10). Condusions HPLC/MS-based metabonomic approach combined with pattern recognition permits accurate outcome prediction of septic rats in the early stage. The proposed approach has advantages of rapid, low-cost and efficiency, and is isph-ing to be applied in clinical prognostic evaluation of septic patients.