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Carbapenem along with colistin-resistant microorganisms in N . Lebanon: Coexistence involving mcr-1 as well as NDM-4 genes in Escherichia coli.
Corticosteroid as well as Immunosuppressant Therapy for Heart failure Sarcoidosis: A deliberate Evaluate.
Genetic cytomegalovirus an infection during pregnancy: overview of epidemic, scientific characteristics, diagnosis along with prevention.
s among the 45 proteins predicted by internet pharmacology were identified, among which 6 proteins were significantly expressed, including 5 up-regulated proteins and 1 down-regulated protein. The protein expression of ALB, PLG, HSP90 AA1, EGFR and MAP2 K1 was significantly returned to a normal state in the TFL treatment groups. In conclusion, TFL may demonstrate the anti-hepatic fibrosis and potential hepatoprotective effects by regulating the expression of ALB, PLG, HSP90 AA1, EGFR and MAP2 K1, which may be associated with the regulation of multiple signaling pathways related to liver fibrosis such as PI3 K-Akt pathway. Pinocembrin, quercetin, epicatechin, procyanidin A2, naringenin, nobiletin, phlorizin and rutin could be regarded as potential Q-markers of TFL for quality control.Dihydro-β-agarofuran sesquiterpenoids possess chemical diversity and biodiversity. A dihydro-β-agarofuran sesquiterpenoid with only hydroxyl groups has been prepared by basic hydrolysis of crude extract of Euonymus bungeanus with 0.4% yield. Twelve derivatives were available in esterification, oxidation, decarboxylation, etc. Extensive ~1H-NMR,~(13)C-NMR, MS spectroscopic analyses and single-crystal X-ray diffraction analysis with Cu Kα radiation indicated that eleven derivatives were new compounds. Adezmapimod inhibitor The results will provide reference for chemistry study on natural product derivatives of dihydro-β-agarofuran sesquiterpenoids.This study is to improve the quality standard and supply the scientific basis for Anemarrhenae Rhizoma and its raw processed products. Adezmapimod inhibitor Steroidal saponin including timosaponin BⅡ, timosaponin AⅢ and flavonoids including neomangiferin and mangiferin were selected as the indicative components. Silica gel G thin layer chromatography(TLC) and polyamide TLC were used to detect the two types of compounds, respectively. link2 The contents of timosaponin BⅡ and timosaponin AⅢ were determined by HPLC-ELSD and the content of neomangiferin, mangiferin and isomangiferin were determined by HPLC-UV. Moisture, total ash and acid insoluble ash were determined according to Chinese Pharmacopoeia(2015 edition). And 80% ethanol was selected as the solvent and the content determination of total extract were determined. The fingerprints of Anemarrhenae Rhizoma and its raw processed products were established by HPLC-UV and HPLC-ELSD. The results showed that the methods of TLC and HPLC have been successfully stablished. There are 2 and 3 peaks which have been identified by HPLC-ELSD and HPLC-UV, respectively. Adezmapimod inhibitor The HPLC fingerprint methods are specific and can be used to identify and quality control for Anemarrhenae Rhizoma and its raw processed products in the mass. Comparing to Chinese Pharmacopoeia(2015 edition), the TLC identification and content determination were revised and the total extract determination and HPLC fingerprints were added in the present study. Our results can be used as the scientific basis of quqlity control for Anemarrhenae Rhizoma and its raw processed products.To investigate the effects of different habitat processing methods of Salviae Miltiorrhizae Radix et Rhizoma on acute myocardial ischemia induced by pituitrin in rats. In this experiment, the tail vein injection of pituitrin was used to induce acute myocardial ischemia in rats. Electrocardiograph(ECG) heart rate and ΔST changes were recorded, and the levels of creatine kinase isoenzyme(CK-MB), lactate dehydrogenase(LDH), superoxide dismutase(SOD) and malondialdehyde(MDA) in serum of rats were detected to comprehensively evaluate the effects of six processing methods of Salviae Miltiorrhizae Radix et Rhizoma on serum biochemical indexes of rats with acute myocardial injury. The ECG results showed that the Salviae Miltiorrhizae Radix et Rhizoma dried in a drying oven had a good effect on the improvement of heart rate and ΔST of electrocardiogram after ischemia, and all the other groups had some protective effects to different degrees. The results of biochemical indexes in serum of each group after ischemia showtment groups were higher than that of the model group. It could be seen that the Salviae Miltiorrhizae Radix et Rhizoma dried in a drying oven had a good improvement effect on electrocardiograph indexes after acute myocardial injury, the Salviae Miltiorrhizae Radix et Rhizoma dried in the shade had a good improvement effect on serum myocardial enzymes after acute myocardial injury, and the other processing methods had a certain protective effect on myocardial injury. The six processing methods evaluated by pharmacodynamics showed that the Salviae Miltiorrhizae Radix et Rhizoma dried in the shade and dried in a drying oven had good efficacy.To optimize the ethanol extraction technology parameters of Fengyin Decoction by orthogonal experiment combined with beetle antennae search(BAS)-genetic algorithm(GA)-back propagation neural network(BPNN). Based on single factor investigation, the extraction temperature, ethanol volume, extraction time, and ethanol concentration were used as orthogonal experiment factors, and entropy weight method was used to calculate the comprehensive scores of aloe-emodin, glycyrrhizic acid ammonium salt, rhein, emodin, chrysophanol, physcion, cinnamaldehyde, 6-gingerol, extraction ratio and fingerprint similarity. BAS-BPNN model was established, and then, GA was used to predict the optimal extraction process. The results showed that BAS-BPNN was optimized to obtain the optimal ethanol extraction process of Fengyin Decoction as follows extraction temperature of 87 ℃, adding 9 times of 75 % ethanol, and extracting for 47 minutes, with a comprehensive score of 1.052 9. Meanwhile, the optimal process parameters obtained by orthogonal design were as follows the extraction temperature of 80 ℃, adding 10 times of 75% ethanol, extracting for 30 minutes, with a comprehensive score of 1.003 7. The comprehensive score of the process obtained from the BAS-BPNN model was slightly better than that from the orthogonal test, indicating that the optimized process from BAS-BPNN model was more ideal, so it was finally determined as the best extraction process for Fengyin Decoction. The process of Fengyin Decoction obtained from BAS-GA-BPNN has high extraction efficiency and good stability, which provides reference for the subsequent development and quality control.As a secondary metabolite, sesquiterpenes are not only have important functions in plant defense and signaling, but also play potential roles in basic materials for pharmaceuticals, cosmetic and flavor. As a traditional Chinese herbal medicine, Senecio scandens exhibits effects of anti-inflammatory and immunosuppressive, as well as invigorating the blood and removing extravasated blood. Over 600 sesquiterpenes with diverse structures were isolated from S. scandens and related species in the same genus. To characterize sesquiterpenes synthesis, two FPS genes(SsFPS1 and SsFPS2) were identified in S. scandens through transcriptomic analysis. Bioinformatic analysis showed that both SsFPSs have conserved motifs for FPS function. Both SsFPSs exhibited constitutive gene expression in S. scandens tissues and SsFPS2 accumulated higher transcript in leaves and roots than SsFPS1. Meanwhile consistent with constitutive sesquiterpene accumulation in S.scandens tissues, most of these sesquiterpenes were detected in leaves and roots more than stems and flowers. Recombinant expression through Escherichia coli metabolic engineering, SsFPS1 or SsFPS2 was co-transformed with ZmTPS11(maize β-macrocarpene synthase) into BL21 competent cells. The results showed that the content of β-macrocarpene was increased by co-transformation with SsFPSs. It is demonstrated that SsFPS1 and SsFPS2 catalyzed E,E-FPP formation and provided FPP precursor for downstream sesquiterpene synthases. Characterization of SsFPSs provided the foundation for the exploration of biosynthesis of sesquiterpenoid with diverse structures and potential pharmaceutical values in S.scandens, and provide an important theoretical basis for the development of S. scandens abundant resources.In this study, the roots, stems and leaves of diploid and autotetraploid Dendrobium huoshanense were used as materials to compare their contents of polysaccharides and alkaloids, and the transcriptome sequencing analysis was carried out. The results showed that the contents of polysaccharides and alkaloids in the roots, stems and leaves of tetraploid were 7.6%, 34.5%, 17.2%, 0.01%, 0.024% and 0.035% higher than those of diploid D. huoshanense, respectively. The contents of active components in different tissues were significantly different. There were 3 687 differentially expressed genes in diploid and tetraploid D. huoshanense, of which 2 346 genes were up-regulated and 1 341 down regulated. Go functional analysis showed that these genes were mainly involved in growth and development, stress resistance and other related functions. KEGG pathway analysis showed that most of the differential genes were concentrated in the processes of carbon metabolism, signal transduction, carbohydrate metabolism, amino acid metabolism and energy metabolism. The differential expression of key genes involved in the metabolism of polysaccharides, terpenes and polyketones, amino acid metabolism, hormone synthesis and signal transduction in diploid and tetraploid plants may be the main reason for the high energy content, the increase of active components and the growth potential of tetraploid plants.Unmanned aerial vehicle(UAV) remote sensing and vegetation index have great potential in the field of Chinese herbal medicine planting. In this study, the visible light image of Polygonatum odoratum planting area in Changyi district of Jilin province were acquired by UAV, and the real-time monitoring of P. odoratum planting area was realized. link2 The green leaf index(GLI) was established, and GLI values of P. odoratum were collected used the spatial sampling points. To compare the GLI values in different periods, it was found that the GLI values of P. odoratum have three stages changing rule of rising-gentle-falling related to the germination, vigorous growth and withered of P. odoratum growth. Meanwhile, the GLI values were compared with four biomass data of P. odoratum, including plant height, leaf area, chlorophyll a and chlorophyll b content in leaves, and it was found that the GLI value was related to the growth potential of P. odoratum. The GLI value with a rapid increase in rising stage or at a high level in the gentle stage means the P. odoratum was in a better growth potential. link2 GLI value has a same change trend with plant height, and has certain correlation with plant height and leaf area. However, there is no obvious relationship between chlorophyll a and chlorophyll b contents in leaves and GLI value. The study clarified the change rule of GLI value of P. odoratum, explained the reason for the change of GLI value, and expanded the application range of GLI. The research shows that UAV and vegetation index can be applied to monitoring the Chinese herbal medicines planting, and provides a new idea for exploring more effective information extraction methods of Chinese herbal medicines.Identification of Chinese medicinal materials is a fundamental part and an important premise of the modern Chinese medicinal materials industry. As for the traditional Chinese medicinal materials that imitate wild cultivation, due to their scattered, irregular, and fine-grained planting characteristics, the fine classification using traditional classification methods is not accurate. link3 Therefore, a deep convolution neural network model is used for imitating wild planting. Identification of Chinese herbal medicines. link3 This study takes Lonicera japonica remote sensing recognition as an example, and proposes a method for fine classification of L. japonica based on a deep convolutional neural network model. link3 The GoogLeNet network model is used to learn a large number of training samples to extract L. japonica characteristics from drone remote sensing images. Parameters, further optimize the network structure, and obtain a L. japonica recognition model. The research results show that the deep convolutional neural network based on GoogLeNet can effectively extract the L.
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