A photolabile protecting group (PPG) 2-(2-nitrophenyl)-propyloxycarbonyl (NPPOC) was explored in glycosylation and applied in the consecutive synthesis of oligosaccharides. NPPOC displays a strong ...neighboring group participation (NGP) effect to facilitate the construction of 1,2-
glycosides in excellent yield. Notably, NPPOC could be efficiently removed by photolysis, and the deprotection conditions are friendly to typical protecting groups. A branched and asymmetric oligomannose Man6 was rapidly prepared, and the consecutive assembly of oligosaccharides without intermediate purification was further investigated owing to the compatibility conditions between NPPPOC's photolysis and glycosylation.
The aim of this study was to explain the lncRNA MEG3 had anti-cancer effects to suppress cervical carcinoma biological activity.
The Hela cell were divided into three groups (NC group,BL group and ...lncRNA group). The cells of lncRNA or BL groups were transfered with lncRNA MEG3 or blank carrier. Evaluating the cell proliferation rate of difference groups by MTT assay; measuring the cell apoptosis and cell cycle of difference groups’ cell by flow-cytometry; the cell invasion activity of difference groups were measured by transwell assay, the cell migration ability of difference groups were evaluated by wound healing testing. Measuring the relative gene expressions (PI3K, AKT, MMP-2, MMP-9, Bcl-2, Bax and P21) and protein expressions (PI3K, AKT, p-AKT, MMP-2, MMP-9, Bcl-2, Bax and P21) by RT-PCR or WB assay.
Compared with NC group, The cell proliferation rate of lncRNA group was significantly reduced (P<0.05) and the cell apoptosis and G1 phase were significantly increased (P<0.05, respectively). The invasion cell of lncRNA MEG3 group were significantly difference compared with NC group (P<0.05), and the wound healing rate of lncRNA MEG3 group was significantly shorter than NC group (P<0.05). The PI3K, AKT, MMP-2, MMP-9 and Bcl-2 gene expression of lncRNA group were significanlty down-regulation compared with NC group (P<0.05,respectively), and Bax and P21 gene expression of lncRNA group were significantly up-regulation compared with NC group (P<0.05,respectively) by RT-PCR testing. The PI3K, AKT, p-AKT, MMP-2, MMP-9 and Bcl-2 protein expression of lncRNA group were significanlty down-regulation compared with NC group (P<0.05,respectively), and Bax and P21 protein expression of lncRNA group were significantly up-regulation compared with NC group (P<0.05,respectively) by WB assay.
The lncRNA MEG3 had effects to supress cervical cancer by regulation PI3K/AKT/Bcl-2/Bax/P21 and PI3K/AKT/MMP-2/9 signaling pathway.
Mobile phones are becoming more common, people has higher requirement about the quality of the pictures that captured by handheld device, in order to reduce the noise in image, we studied the ...prediction network (KPN) denoising algorithm, to overcome the disadvantage of low efficiency of traditional convolution receptive field, a deformable kernel prediction network (DEF_KPN) algorithm for burst images denoising is proposed in this paper. The deformable convolution structure is used to preprocess the noise image, so that the kernel prediction network can generate a pixel-by-pixel filter core more suitable for the image structure, so as to make the image contour more clearer after denoised. We obtain bayer image by anti-ISP method, and then synthesizing the training data by jitter clipping and adding poissonian-gaussian noise. Applying Adam algorithm and annealing strategy to train neural network to convergence. The experiment results show that; the DEF_KPN algorithm proposed in this paper is superior to the KPN algorithm in both synthetic noise data and real noise data. In terms of synthetic noise data, the PSNR index is improved by about 0.5db. On the real noise data, PSNR index was increased by 0.5dB. The SSIM index has been improved by 0.005. Experiments on burst mobile phone bayer images illustrate that : The neural network trained by our method can successfully de-noise the multi-frame images taken by the phone.
How to rapidly and accurately screen bioactive components from complex natural products remains a major challenge. In this study, a screening platform for pancreatic lipase (PL) inhibitors was ...established by combining magnetic beads-based ligand fishing and high-resolution bioassay profiling. This platform was well validated using a mixture of standard compounds, i.e., (-)- epigallocatechin gallate (EGCG), luteolin and schisandrin. The dose–effect relationship of high-resolution bioassay profiling was demonstrated by the standard mixture with different concentrations for each compound. The screening of PL inhibitors from green tea extract at the concentrations of 0.2, 0.5 and 1.0 mg/mL by independent high-resolution bioassay profiling was performed. After sample pre-treatment by ligand fishing, green tea extract at the concentration of 0.2 mg/mL was specifically enriched and simplified, and consequently screened through the high-resolution bioassay profiling. As a result, three PL inhibitors, i.e., EGCG, (-)-Gallocatechin gallate (GCG) and (-)-Epicatechin gallate (ECG), were rapidly identified from the complex matrix. The established platform proved to be capable of enriching affinity binders and eliminating nonbinders in sample pre-treatment by ligand fishing, which overcame the technical challenges of high-resolution bioassay profiling in the aspects of sensitivity and resolution. Meanwhile, the high-resolution bioassay profiling possesses the ability of direct bioactive assessment, parallel structural analysis and identification after separation. The established platform allowed more accurate and rapid screening of PL inhibitors, which greatly facilitated natural product-based drug screening.
Dilution rate is one of most important factors influencing the microstructure and performance of the laser cladding layer. In order to obtain a reasonable dilution rate in the laser cladding layer of ...Inconel 625 alloy, the laser cladding layers with different Fe content were prepared on the surface of 20# steel by the laser cladding technique. The influence of Fe content on the microstructure and performance of Inconel 625 alloy cladding layer was investigated. The results indicate that with the increase in Fe content in the alloy, the grain size of the cladding layer becomes coarser, the grain orientation difference increases first and then decreases, and the grain boundary angle decreases first and then increases. The hardness, high temperature wear resistance, and high temperature corrosion resistance gradually decreased. It is concluded that the dilution rate of Fe in laser cladding Inconel 625 alloy should be under 5 wt.%.
In order to achieve sustainable development of mature oilfield, a series of adjustment measures should be implemented to improve production performance at the extra-high water cut stage. South Kumkol ...reservoir is a typical multi-layer low viscosity oil reservoir, which has the characteristics of small sandstone body, high shale volume, and strong heterogeneity. At present, the water cut of the South Kumkol reservoir is about 90%, which is on the verge of being abandoned. Multi-layer cyclic alternate injection and production (MCA-IP) is an ideal adjustment measure for multi-layer oil reservoir to improve oil recovery (IOR) at the extra-high water cut stage. In this paper, we designed the double-plate visual physical device and the MCA-IP experimental program and then calculated the sweep coefficient using image recognition method. Furthermore, the sweep coefficient was quantitatively calculated by image recognition method. The results show that the sweep area extends to both sides of the main streamline and the sweep efficiency is gradually improved after the completion of MCA-IP. In addition, the IOR mechanism of MCA-IP mainly includes reperforation, well-pattern encryption, and asynchronous injection-production. The reperforation and well-pattern encryption increased the sweep coefficient by about 19.52%, while asynchronous injection-production increased the sweep coefficient by about 1.2%, and the overall sweep coefficient increased by about 20.7%. According to the experimental data statistics, the MCA-IP method can increase oil recovery by about 11% and reduce water cut by about 6%.
There are few studies examining the association between blood pressure (BP) and noncommunicable diseases (NCDs) in consideration of the new hypertension guidelines in China.
Data were drawn from the ...China Health and Retirement Longitudinal Study. 14 390 eligible participants (aged 45 years and older) were selected through four-stage, stratified, and cluster sampling. Hypertension was considered as a mean systolic blood pressure (SBP) of 130 mm Hg (old definition: 140 mm Hg) or higher, a mean diastolic blood pressure (DBP) of 80 mm Hg (old definition: 90 mm Hg) or higher or taking anti-hypertensive medication. Cochran-Armitage trend test and logistic regression analyses were conducted to test the association between BP level and NCDs.
The prevalence of hypertension based on the latest definition was 56.35% (while by old definition: 42.75%). The awareness, treatment, and control among hypertensive participants were 38.62% (51.18%), 43.10% (56.81%), and 9.91% (13.06%), respectively. An increasing rate of NCDs (diabetes, heart disease, stroke, and memory-related disease) among participants were found with the ascending of BP level. After adjusted for demographics and behavioral risks, the following 3 NCDs had been shown to correlate with hypertension: diabetes (adjusted OR 1.15, 0.91-1.45 for elevated BP; 1.20, 0.97-1.49 for hypertension stage 1; 1.55, 1.28-1.86 hypertension stage 2), heart disease (0.94, 0.79-1.12; 1.05, 0.90-1.22; 1.28, 1.12-1.47), and stroke (1.77, 1.25-2.51; 1.32, 0.93-1.87; 1.85, 1.37-2.49).
The association between hypertension and the risk of NCDs is of concern in China. The combined efforts on NCDs prevention and lowered blood pressure should be made by nationally integrated strategies, especially in middle-aged and older adults.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
This study was firstly to study the relationship of "ingredient-target-pathway" and the pharmacological effects of
for the treatment of diabetes. Based on a network pharmacology method, 138 active ...ingredients of
were screened from the relative literatures, and their targets were confirmed by comparing these with the hypoglycemic targets in the DrugBank database. Results showed that
contained 25 hypoglycemic ingredients, such as rabdoternin A, rabdoternin B, and epinodosinol. These ingredients could activate 6 hypoglycemic targets, including 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR), integrin
-L (ITGAL), integrin
-2 (ITGB2), progesterone receptor (PGR), glucocorticoid receptor (NR3C1), and nuclear receptor subfamily 1 group I member 2 (NR1I2). These targets were involved in 94 signaling pathways, such as the Rap1, PI3K-Akt, and HIF-1 signaling pathways. The cell viability showed that the human umbilical vein endothelial cells (HUVECs) treated with alcohol extract (1.00 g/L) and the water extract (0.13 - 0.50 g/L) exhibited high viability compared to the model group (p
0.05), respectively. 0In animal experiments, the rats treated with water extract of
showed significant hypoglycemic effects compared to rats in the model group (p
0.05). Overall, this approach provides an efficient strategy to explore hypoglycemic ingredients of
and other traditional Chinese medicine.
•A novel single-step strategy was developed for carbohydrate monolithic column.•Glucose and maltose functionalized monoliths were prepared and characterized.•The optimized monoliths showed great ...potential for separation and enrichment.
A single-step copolymerization strategy was developed for the preparation of carbohydrate (glucose and maltose) functionalized monoliths using click reaction. Firstly, novel carbohydrate-functionalized methacrylate monomers were synthesized through Cu(I)-catalyzed 1,3-dipolar cycloaddition (alkyne-azide reaction) of terminal alkyne with azide of carbohydrate derivatives. The corresponding carbohydrate functionalized monolithic columns were then prepared through a single-step in-situ copolymerization. The physicochemical properties and performance of the fabricated monolithic columns were evaluated using scanning electron microscopy, Fourier-transform infrared spectroscopy, and nano-liquid chromatography. For the optimized monolithic column, satisfactory column permeability and good separation performance were demonstrated for polar compounds including nucleoside, phenolic compounds and benzoic acid derivatives. The monolithic column is also highly useful for selective and efficient enrichment of glycopeptides from human IgG tryptic digests. This study not only provided a novel hydrophilic column for separation and selective trapping of polar compounds, but also proposed a facile and efficient approach for preparing carbohydrate functionalized monoliths.
The carboniferous carbonate reservoirs in the North Truva Oilfield have undergone complex sedimentation, diagenesis and tectonic transformation. Various reservoir spaces of pores, caves and ...fractures, with strong reservoir heterogeneity and diverse pore structures, have been developed. As a result, a quantitative description of the pore structure is difficult, and the accuracy of logging identification and prediction is low. These pose a lot of challenges to reservoir classification and evaluation as well as efficient development of the reservoirs. This study is based on the analysis of core, thin section, scanning electron microscope, high-pressure mercury injection and other data. Six types of petrophysical facies, PG1, PG2, PG3, PG4, PG5, and PG6, were divided according to the displacement pressure, mercury removal efficiency, and median pore-throat radius isobaric mercury parameters, combined with the shape of the capillary pressure curve. The petrophysical facies of the wells with mercury injection data were divided accordingly, and then the machine learning method was applied. The petrophysical facies division results of two mercury injection wells were used as training samples. The artificial neural network (ANN) method was applied to establish a training model of petrophysical facies recognition. Subsequently, the prediction for the petrophysical facies of each well in the oilfield was carried out, and the petrophysical facies division results of other mercury injection wells were applied to verify the prediction. The results show that the overall coincidence rate for identifying petrophysical facies is as high as 89.3%, which can be used for high-precision identification and prediction of petrophysical facies in non-coring wells.
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