ABSTRACT
Three diarylheptanoids were isolated from the n-butanol fraction of Zingiber officinale peel by MCI Gel CHP-20, Sephadex LH-20, ODS and semipreparative high performance liquid chromatography. Their structures were identified by MS and NMR spectroscopy techniques: (2S,2'S,3R,3'R,4R,4'R,6R,6'R)-6,6'-bis((S)-1-hydroxy-2-(4-hydroxyphenyl)ethyl)-2,2'-bis(4-hydroxy-3-methoxyphenyl)octahydro-2H,2'H-[3,3'-bipyran]-4,4'-diol (1), (E)-7-(4-hydroxy-3-methoxyphenyl)-1-(4-hydroxyphenyl)hept-4-en-3-one (2), and alpinin B (3). Compound 1 is a new compound, and compounds 2-3 were obtained from Zingiber officinale peel for the first time.
ABSTRACT
The chemical constituents of Zingiber officinale peel were isolated and purified by various chromatographic separation techniques such as Diaion HP-20, MCI Gel CHP-20, Sephadex LH-20, ODS, silica gel and semi-preparative HPLC. Seven terpenoids were identified by physicochemical properties and spectral data: (4R,6S)-1-(hydroxymethyl)-5,5-dimethylbicyclo[3.1.1]hept-2-en-4-ol (1), 4-(hydroxymethyl)-1-isopropylcyclohex-2-ene-3,4-diol (2), 3,5,6-trihydroxy-7-megastigmen-9-one (3), 3-(3-hydroxybutyl)-2,4,4-trimethyl-2,5-cyclohexadien-1-one (4), angelicoidenol (5), grasshopper ketone (6), and dihydrophaseic acid (7), in which compounds 1, 2 are new compounds, named: (4R,6S)-1-(hydroxymethyl)-5,5-dimethylbicyclo[3.1.1]hept-2-en-4-ol and 4-(hydroxymethyl)-1-isopropylcyclohex-2-ene-3,4-diol, and compounds 3-7 were obtained from this plant for the first time.
ABSTRACT
We separated and purified five chemical constituents of dried ginger by Diaion HP-20, Sephadex LH-20, silica gel and semi-preparative high performance liquid chromatography. Five gingerols were identified by physicochemical properties and MS and NMR spectroscopy techniques: 4-(2-butyl-6-methyl-4H-pyran-4-yl)-2-methoxyphenol (1), 4-(2-hexyl-6-methyl-4H-pyran-4-yl)-2-methoxyphenol (2), 1-(4-hydroxy-3-methoxyphenyl)tridecane-3,5-diol (3), [10]-gingerdiol (4) and 1-[1-(4-hydroxy-3-methoxy phenyl)-3-oxodecan-5-yl]pyrrolidin-2-one (5a, 5b). Compounds 1-3, 5a, 5b are new compounds.
ABSTRACT
Near-infrared spectroscopy (NIRS) combined with chemometrics can achieve rapid detection in process analysis. After variable selection, the redundant information is effectively removed and the characteristic variables related to the response values are selected. Compared with global model, the complexity is significantly reduced and the prediction accuracy is also improved. In this study, near-infrared spectroscopy analysis combined with different variable selection methods was applied to achieve the rapid detection of baicalin in the extraction process of Scutellaria baicalensis. Data sets were divided based on sample set portioning based on joint x-y distance (SPXY) method. Competitive adaptive weighted resampling method (CARS), random frog (RF) and successive projections algorithm (SPA) were applied to variable selection. Partial least squares (PLS) models were constructed based on above three methods, and the prediction results were compared. After CARS, RF and SPA method, 92, 10 and 17 variables were screened out respectively. According to the performance of the models, CARS method is found to be more effective and suitable than RF and SPA. Furthermore, the characteristic variables selected by CARS method have a better correspondence with the chemical structure of baicalin. The root mean square error (RMSEC) of the calibration set and the root mean square error (RMSEP) of the prediction set are 0.528 2 and 0.720 2 respectively. Compared with the global PLS model, the correlation coefficient of the calibration set (Rc) is increased to 0.979 9 from 0.917 0, and the relative standard errors of prediction (RSEP) is reduced to 5.59% from 10.58%.
ABSTRACT
The aim of this paper was to investigate the preventive effects of Keluoxin Capsules(KLX) on diabetic retinopathy in db/db mice. One hundred male db/db diabetic mice(45-55 g, 8 weeks) were randomly divided into 5 groups(model, KLX low dose, KLX middle dose, KLX high dose, Dobesilate) and 20 male C57 BL/KsJdb~(+/+) were taken as control group. Body weight and fasting blood-glucose were detected every week. Mice were administrated with saline(control and model group), KLX(780, 1 560, 3 120 mg·kg~(-1)·d~(-1), ig), Dobesilate(195 mg·kg~(-1)·d~(-1), ig) for 20 weeks, respectively. At the end of the administration, optical coherence tomography, fundus fluorescein angiography and electroretinogram of the retina were measured. The eyeball was extirpated and retina was isolated to make paraffin section, followed by HE staining and glial fibrillary acidic protein(GFAP) immunohistochemistry. The results indicated that KLX has no obvious effect on body weight and fasting blood level in db/db mice. However, KLX could significantly regulate the thickness of retinal ganglion layer and inner plexiform layer. KLX was able to remarkably reduce the quantity of diabetic microvessel. Meanwhile, KLX could notably improve retinal function. Moreover, KLX could observably modulate the cell arrangement and edema in each layer. There was no markable difference in retina according to the immunochemistry assay. In the present study, KLX exert marked preventive effects on diabetic retinopathy in db/db mice, which provided an experimental evidence for clinical use.
Subject(s)
Animals , Male , Mice , Capsules , Diabetes Mellitus, Experimental , Diabetic Retinopathy , Drug Therapy , Fluorescein Angiography , Hypoglycemic Agents , Pharmacology , Random Allocation , RetinaABSTRACT
In order to improve the precision and robustness in determination of soluble solids content ( SSC) of ‘Fuji ’ apple by NIR spectroscopy and eliminate the effect of origin variability on the accuracy of NIR calibration models for the SSC, sample set partitioning based on joint x-y distances ( SPXY) was used to select representative subset from the apple samples of 4 different origins. As a comparison, partial least square ( PLS) was used to establish local origin and hybrid origin models for the prediction of SSC in apple. Competitive adaptive reweighted sampling ( CARS ) and successive projections algorithm ( SPA ) were implemented to select effective variables of the NIR spectroscopy of SSC of apple. The results indicated that the PLS model established based on the 4 origin apple samples performed better than local origin and other hybrid origin models. The model could be effectively simplified using 16 characteristic variables selected by CARS-SPA method from full-spectrum which had 3112 wavelengths. The correlation coefficient (Rp) and root mean square error of prediction (RMSEP) were 0. 978 and 0. 441 oBrix, respectively for SSC. It was found that the model developed by more samples of different origins combined with effective wavelengths showed good prediction ability for apple sample of unknown origin, which indicated that it could significantly reduce the origin effect on the robustness of NIR models for SSC of apple.
ABSTRACT
<p><b>OBJECTIVE</b>To establish an improved three-dimension (3D) and serum-free approach to differentiate human embryonic stem cells (hESCs) into endothelial cells, and detect the endothelial functions of the obtained cells.</p><p><b>METHODS</b>We cultured undifferentiated H9 human embryonic stem cell line in low-adhesion dishes to form embryonic bodies (EBs). After 12 days, EBs were harvested, re-suspended into rat tail collagen type I, and put into the incubator (37℃). After 30 minutes, EGM-2 culture medium was added to the solidified collagen, and the EBs were cultured for another 3 days to form embryonic body-sproutings (EB-sproutings). EB-sproutings were digested with 0.25% collagenase I and 0.56 U/ml Liberase Blendzyme for 20 minutes respectively, and the CD31(+) cells were sorted by FACS. The endothelial functions were tested by Dil-ac-LDL uptake assay and tube formation assay.</p><p><b>RESULTS</b>This approach raised the efficiency of endothelial differentiation to 18%, and also avoided the contamination with animal materials. The obtained hESC-derived endothelial cells (hESC-ECs) had the similar pattern of surface biomarkers as human umbilical vein endothelial cells (HUVECs), and their endothelial functions were confirmed by the uptake of Dil-ac-LDL and the tube formation on Matrigel.</p><p><b>CONCLUSIONS</b>The improved 3D approach can enhance the efficiency of differentiation from hESCs into endothelial cells. Furthermore, serum free differentiation system may be applied in future hESC-based therapies for various ischemic diseases.</p>